From 4ad8ced35ec52a2f43fdb0675b3dc6ac8bab5981 Mon Sep 17 00:00:00 2001 From: kanungle Date: Fri, 1 May 2026 09:21:28 -0700 Subject: [PATCH] added quote wrapping to meta description content --- qdrant-landing/content/articles/_index.md | 2 +- qdrant-landing/content/articles/binary-quantization-openai.md | 4 ++-- qdrant-landing/content/articles/cars-recognition.md | 2 +- .../content/articles/cross-encoder-integration-gsoc.md | 4 ++-- qdrant-landing/content/articles/data-exploration/_index.md | 2 +- qdrant-landing/content/articles/data-privacy.md | 2 +- qdrant-landing/content/articles/dataset-quality.md | 4 ++-- qdrant-landing/content/articles/detecting-coffee-anomalies.md | 2 +- qdrant-landing/content/articles/dimension-reduction-qsoc.md | 4 ++-- qdrant-landing/content/articles/discovery-search.md | 4 ++-- qdrant-landing/content/articles/ecosystem/_index.md | 2 +- qdrant-landing/content/articles/embedding-recycler.md | 4 ++-- qdrant-landing/content/articles/faq-question-answering.md | 4 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.../course/multi-vector-search/module-3/final-project.md | 2 +- .../multi-vector-search/module-3/multi-stage-retrieval.md | 2 +- .../content/course/multi-vector-search/module-3/muvera.md | 2 +- .../course/multi-vector-search/module-3/pooling-techniques.md | 2 +- .../multi-vector-search/module-3/quantization-techniques.md | 2 +- qdrant-landing/content/documentation/frameworks/cognee.md | 2 +- 171 files changed, 259 insertions(+), 259 deletions(-) diff --git a/qdrant-landing/content/articles/_index.md b/qdrant-landing/content/articles/_index.md index 12036dfed..ea1e68ab4 100644 --- a/qdrant-landing/content/articles/_index.md +++ b/qdrant-landing/content/articles/_index.md @@ -2,7 +2,7 @@ title: Qdrant Articles page_title: Articles about Vector Search short_description: "Long-form articles on vector search, RAG, quantization, hybrid retrieval, and Qdrant internals from the engineering team." -description: Articles about vector search and similarity larning related topics. Latest updates on Qdrant vector search engine. +description: "Articles about vector search and similarity larning related topics. Latest updates on Qdrant vector search engine." section_title: Check out our latest publications subtitle: Check out our latest publications img: /articles_data/title-img.png diff --git a/qdrant-landing/content/articles/binary-quantization-openai.md b/qdrant-landing/content/articles/binary-quantization-openai.md index 0e0556640..f3a08d764 100644 --- a/qdrant-landing/content/articles/binary-quantization-openai.md +++ b/qdrant-landing/content/articles/binary-quantization-openai.md @@ -2,8 +2,8 @@ title: "Optimizing OpenAI Embeddings: Enhance Efficiency with Qdrant's Binary Quantization" draft: false slug: binary-quantization-openai -short_description: Use Qdrant's Binary Quantization to enhance OpenAI embeddings -description: Explore how Qdrant's Binary Quantization can significantly improve the efficiency and performance of OpenAI's Ada-003 embeddings. Learn best practices for real-time search applications. +short_description: "Use Qdrant's Binary Quantization to enhance OpenAI embeddings" +description: "Explore how Qdrant's Binary Quantization can significantly improve the efficiency and performance of OpenAI's Ada-003 embeddings. Learn best practices for real-time search applications." preview_dir: /articles_data/binary-quantization-openai/preview preview_image: /articles-data/binary-quantization-openai/Article-Image.png small_preview_image: /articles_data/binary-quantization-openai/icon.svg diff --git a/qdrant-landing/content/articles/cars-recognition.md b/qdrant-landing/content/articles/cars-recognition.md index 6b5d6d092..18f48c512 100644 --- a/qdrant-landing/content/articles/cars-recognition.md +++ b/qdrant-landing/content/articles/cars-recognition.md @@ -1,7 +1,7 @@ --- title: Fine Tuning Similar Cars Search short_description: "How to use similarity learning to search for similar cars" -description: Learn how to train a similarity model that can retrieve similar car images in novel categories. +description: "Learn how to train a similarity model that can retrieve similar car images in novel categories." social_preview_image: /articles_data/cars-recognition/preview/social_preview.jpg small_preview_image: /articles_data/cars-recognition/icon.svg preview_dir: /articles_data/cars-recognition/preview diff --git a/qdrant-landing/content/articles/cross-encoder-integration-gsoc.md b/qdrant-landing/content/articles/cross-encoder-integration-gsoc.md index 50599dcad..15ae1bbc0 100644 --- a/qdrant-landing/content/articles/cross-encoder-integration-gsoc.md +++ b/qdrant-landing/content/articles/cross-encoder-integration-gsoc.md @@ -1,7 +1,7 @@ --- title: Qdrant Summer of Code 2024 - ONNX Cross Encoders in Python -short_description: QSoC 2024 ONNX Cross Encoders in Python -description: A summary of my work and experience at Qdrant Summer of Code 2024. +short_description: "QSoC 2024 ONNX Cross Encoders in Python" +description: "A summary of my work and experience at Qdrant Summer of Code 2024." preview_dir: /articles_data/cross-encoder-integration-gsoc/preview small_preview_image: /articles_data/cross-encoder-integration-gsoc/icon.svg social_preview_image: /articles_data/cross-encoder-integration-gsoc/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/data-exploration/_index.md b/qdrant-landing/content/articles/data-exploration/_index.md index 6f76d3f12..985bafce9 100644 --- a/qdrant-landing/content/articles/data-exploration/_index.md +++ b/qdrant-landing/content/articles/data-exploration/_index.md @@ -1,7 +1,7 @@ --- title: Data Exploration short_description: "Articles on exploring high-dimensional data with Qdrant: similarity search, anomaly detection, clustering, and dataset curation." -description: Learn how you can leverage vector similarity beyond just search. Reveal hidden patterns and insights in your data, provide recommendations, and navigate data space. +description: "Learn how you can leverage vector similarity beyond just search. Reveal hidden patterns and insights in your data, provide recommendations, and navigate data space." category: data-exploration url: /articles/data-exploration/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/data-privacy.md b/qdrant-landing/content/articles/data-privacy.md index 640feb812..0b46c931c 100644 --- a/qdrant-landing/content/articles/data-privacy.md +++ b/qdrant-landing/content/articles/data-privacy.md @@ -1,7 +1,7 @@ --- title: " Data Privacy with Qdrant: Implementing Role-Based Access Control (RBAC)" #required short_description: "Secure Your Data with Qdrant: Implementing RBAC" -description: Discover how Qdrant's Role-Based Access Control (RBAC) ensures data privacy and compliance for your AI applications. Build secure and scalable systems with ease. Read more now! +description: "Discover how Qdrant's Role-Based Access Control (RBAC) ensures data privacy and compliance for your AI applications. Build secure and scalable systems with ease. Read more now!" social_preview_image: /articles_data/data-privacy/preview/social_preview.jpg # This image will be used in social media previews, should be 1200x630px. Required. preview_dir: /articles_data/data-privacy/preview # This directory contains images that will be used in the article preview. They can be generated from one image. Read more below. Required. weight: -110 # This is the order of the article in the list of articles at the footer. The lower the number, the higher the article will be in the list. diff --git a/qdrant-landing/content/articles/dataset-quality.md b/qdrant-landing/content/articles/dataset-quality.md index 205035aad..f7aa84f10 100644 --- a/qdrant-landing/content/articles/dataset-quality.md +++ b/qdrant-landing/content/articles/dataset-quality.md @@ -1,7 +1,7 @@ --- title: Finding errors in datasets with Similarity Search -short_description: Finding errors datasets with distance-based methods -description: Improving quality of text-and-images datasets on the online furniture marketplace example. +short_description: "Finding errors datasets with distance-based methods" +description: "Improving quality of text-and-images datasets on the online furniture marketplace example." preview_dir: /articles_data/dataset-quality/preview social_preview_image: /articles_data/dataset-quality/preview/social_preview.jpg small_preview_image: /articles_data/dataset-quality/icon.svg diff --git a/qdrant-landing/content/articles/detecting-coffee-anomalies.md b/qdrant-landing/content/articles/detecting-coffee-anomalies.md index 4058250d2..5911160c9 100644 --- a/qdrant-landing/content/articles/detecting-coffee-anomalies.md +++ b/qdrant-landing/content/articles/detecting-coffee-anomalies.md @@ -1,7 +1,7 @@ --- title: Metric Learning for Anomaly Detection short_description: "How to use metric learning to detect anomalies: quality assessment of coffee beans with just 200 labelled samples" -description: Practical use of metric learning for anomaly detection. A way to match the results of a classification-based approach with only ~0.6% of the labeled data. +description: "Practical use of metric learning for anomaly detection. A way to match the results of a classification-based approach with only ~0.6% of the labeled data." social_preview_image: /articles_data/detecting-coffee-anomalies/preview/social_preview.jpg preview_dir: /articles_data/detecting-coffee-anomalies/preview small_preview_image: /articles_data/detecting-coffee-anomalies/anomalies_icon.svg diff --git a/qdrant-landing/content/articles/dimension-reduction-qsoc.md b/qdrant-landing/content/articles/dimension-reduction-qsoc.md index 24d497854..3980b50c8 100644 --- a/qdrant-landing/content/articles/dimension-reduction-qsoc.md +++ b/qdrant-landing/content/articles/dimension-reduction-qsoc.md @@ -1,7 +1,7 @@ --- title: Qdrant Summer of Code 2024 - WASM based Dimension Reduction -short_description: QSOC'24 WASM based Dimension Reduction -description: My journey as a Qdrant Summer of Code 2024 participant working on enhancing vector visualization using WebAssembly (WASM) based dimension reduction. +short_description: "QSOC'24 WASM based Dimension Reduction" +description: "My journey as a Qdrant Summer of Code 2024 participant working on enhancing vector visualization using WebAssembly (WASM) based dimension reduction." preview_dir: /articles_data/dimension-reduction-qsoc/preview small_preview_image: /articles_data/dimension-reduction-qsoc/icon.svg social_preview_image: /articles_data/dimension-reduction-qsoc/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/discovery-search.md b/qdrant-landing/content/articles/discovery-search.md index 91db4532a..b79b08186 100644 --- a/qdrant-landing/content/articles/discovery-search.md +++ b/qdrant-landing/content/articles/discovery-search.md @@ -1,7 +1,7 @@ --- title: "Discovery needs context" -short_description: Discover points by constraining the vector space. -description: Discovery Search, an innovative way to constrain the vector space in which a search is performed, relying only on vectors. +short_description: "Discover points by constraining the vector space." +description: "Discovery Search, an innovative way to constrain the vector space in which a search is performed, relying only on vectors." social_preview_image: /articles_data/discovery-search/social_preview.jpg small_preview_image: /articles_data/discovery-search/icon.svg preview_dir: /articles_data/discovery-search/preview diff --git a/qdrant-landing/content/articles/ecosystem/_index.md b/qdrant-landing/content/articles/ecosystem/_index.md index fc81be8fb..9470c67da 100644 --- a/qdrant-landing/content/articles/ecosystem/_index.md +++ b/qdrant-landing/content/articles/ecosystem/_index.md @@ -1,7 +1,7 @@ --- title: Ecosystem short_description: "Articles covering Qdrant's ecosystem: integrations, embedding providers, frameworks, and tools that pair with vector search." -description: Tools, libraries and integrations around Qdrant vector search engine. +description: "Tools, libraries and integrations around Qdrant vector search engine." category: ecosystem url: /articles/ecosystem/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/embedding-recycler.md b/qdrant-landing/content/articles/embedding-recycler.md index 8f95c81d3..838811bd6 100644 --- a/qdrant-landing/content/articles/embedding-recycler.md +++ b/qdrant-landing/content/articles/embedding-recycler.md @@ -1,7 +1,7 @@ --- title: Layer Recycling and Fine-tuning Efficiency -short_description: Tradeoff between speed and performance in layer recycling -description: Learn when and how to use layer recycling to achieve different performance targets. +short_description: "Tradeoff between speed and performance in layer recycling" +description: "Learn when and how to use layer recycling to achieve different performance targets." preview_dir: /articles_data/embedding-recycling/preview small_preview_image: /articles_data/embedding-recycling/icon.svg social_preview_image: /articles_data/embedding-recycling/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/faq-question-answering.md b/qdrant-landing/content/articles/faq-question-answering.md index ce1f0c19d..bd7f1d2d6 100644 --- a/qdrant-landing/content/articles/faq-question-answering.md +++ b/qdrant-landing/content/articles/faq-question-answering.md @@ -1,7 +1,7 @@ --- title: Q&A with Similarity Learning -short_description: A complete guide to building a Q&A system with similarity learning. -description: A complete guide to building a Q&A system using Quaterion and SentenceTransformers. +short_description: "A complete guide to building a Q&A system with similarity learning." +description: "A complete guide to building a Q&A system using Quaterion and SentenceTransformers." social_preview_image: /articles_data/faq-question-answering/preview/social_preview.jpg preview_dir: /articles_data/faq-question-answering/preview small_preview_image: /articles_data/faq-question-answering/icon.svg diff --git a/qdrant-landing/content/articles/filterable-hnsw.md b/qdrant-landing/content/articles/filterable-hnsw.md index 894d8c61f..26b006f39 100644 --- a/qdrant-landing/content/articles/filterable-hnsw.md +++ b/qdrant-landing/content/articles/filterable-hnsw.md @@ -1,7 +1,7 @@ --- title: Filterable HNSW -short_description: How to make ANN search with custom filtering? -description: How to make ANN search with custom filtering? Search in selected subsets without losing the results. +short_description: "How to make ANN search with custom filtering?" +description: "How to make ANN search with custom filtering? Search in selected subsets without losing the results." # external_link: https://blog.vasnetsov.com/posts/categorical-hnsw/ social_preview_image: /articles_data/filterable-hnsw/social_preview.jpg preview_dir: /articles_data/filterable-hnsw/preview diff --git a/qdrant-landing/content/articles/food-discovery-demo.md b/qdrant-landing/content/articles/food-discovery-demo.md index d82039343..a116f6873 100644 --- a/qdrant-landing/content/articles/food-discovery-demo.md +++ b/qdrant-landing/content/articles/food-discovery-demo.md @@ -1,7 +1,7 @@ --- title: Food Discovery Demo -short_description: Feeling hungry? Find the perfect meal with Qdrant's multimodal semantic search. -description: Feeling hungry? Find the perfect meal with Qdrant's multimodal semantic search. +short_description: "Feeling hungry? Find the perfect meal with Qdrant's multimodal semantic search." +description: "Feeling hungry? Find the perfect meal with Qdrant's multimodal semantic search." preview_dir: /articles_data/food-discovery-demo/preview social_preview_image: /articles_data/food-discovery-demo/preview/social_preview.jpg small_preview_image: /articles_data/food-discovery-demo/icon.svg diff --git a/qdrant-landing/content/articles/geo-polygon-filter-gsoc.md b/qdrant-landing/content/articles/geo-polygon-filter-gsoc.md index 4afa54d35..523038cf9 100644 --- a/qdrant-landing/content/articles/geo-polygon-filter-gsoc.md +++ b/qdrant-landing/content/articles/geo-polygon-filter-gsoc.md @@ -1,7 +1,7 @@ --- title: Google Summer of Code 2023 - Polygon Geo Filter for Qdrant Vector Database -short_description: Gsoc'23 Polygon Geo Filter for Qdrant Vector Database -description: A Summary of my work and experience at Qdrant's Gsoc '23. +short_description: "Gsoc'23 Polygon Geo Filter for Qdrant Vector Database" +description: "A Summary of my work and experience at Qdrant's Gsoc '23." preview_dir: /articles_data/geo-polygon-filter-gsoc/preview small_preview_image: /articles_data/geo-polygon-filter-gsoc/icon.svg social_preview_image: /articles_data/geo-polygon-filter-gsoc/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/machine-learning/_index.md b/qdrant-landing/content/articles/machine-learning/_index.md index f1d8b4853..fd9106749 100644 --- a/qdrant-landing/content/articles/machine-learning/_index.md +++ b/qdrant-landing/content/articles/machine-learning/_index.md @@ -1,7 +1,7 @@ --- title: Machine Learning short_description: "Machine learning articles on embeddings, metric learning, fine-tuning, and applying neural retrieval with Qdrant." -description: Explore Machine Learning principles and practices which make modern semantic similarity search possible. Apply Qdrant and vector search capabilities to your ML projects. +description: "Explore Machine Learning principles and practices which make modern semantic similarity search possible. Apply Qdrant and vector search capabilities to your ML projects." category: machine-learning url: /articles/machine-learning/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/memory-consumption.md b/qdrant-landing/content/articles/memory-consumption.md index 01649639a..8e33e3114 100644 --- a/qdrant-landing/content/articles/memory-consumption.md +++ b/qdrant-landing/content/articles/memory-consumption.md @@ -1,7 +1,7 @@ --- title: Minimal RAM you need to serve a million vectors -short_description: How to properly measure RAM usage and optimize Qdrant for memory consumption. -description: How to properly measure RAM usage and optimize Qdrant for memory consumption. +short_description: "How to properly measure RAM usage and optimize Qdrant for memory consumption." +description: "How to properly measure RAM usage and optimize Qdrant for memory consumption." social_preview_image: /articles_data/memory-consumption/preview/social_preview.jpg preview_dir: /articles_data/memory-consumption/preview small_preview_image: /articles_data/memory-consumption/icon.svg diff --git a/qdrant-landing/content/articles/metric-learning-tips.md b/qdrant-landing/content/articles/metric-learning-tips.md index 93a3a3efa..680145f05 100644 --- a/qdrant-landing/content/articles/metric-learning-tips.md +++ b/qdrant-landing/content/articles/metric-learning-tips.md @@ -1,7 +1,7 @@ --- title: Metric Learning Tips & Tricks -short_description: How to train an object matching model and serve it in production. -description: Practical recommendations on how to train a matching model and serve it in production. Even with no labeled data. +short_description: "How to train an object matching model and serve it in production." +description: "Practical recommendations on how to train a matching model and serve it in production. Even with no labeled data." # external_link: https://vasnetsov93.medium.com/metric-learning-tips-n-tricks-2e4cfee6b75b social_preview_image: /articles_data/metric-learning-tips/preview/social_preview.jpg preview_dir: /articles_data/metric-learning-tips/preview diff --git a/qdrant-landing/content/articles/neural-search-tutorial.md b/qdrant-landing/content/articles/neural-search-tutorial.md index 7bc53028d..b73f9cc57 100644 --- a/qdrant-landing/content/articles/neural-search-tutorial.md +++ b/qdrant-landing/content/articles/neural-search-tutorial.md @@ -1,7 +1,7 @@ --- title: "Neural Search 101: A Complete Guide and Step-by-Step Tutorial" -short_description: Step-by-step guide on how to build a neural search service. -description: Discover the power of neural search. Learn what neural search is and follow our tutorial to build a neural search service using BERT, Qdrant, and FastAPI. +short_description: "Step-by-step guide on how to build a neural search service." +description: "Discover the power of neural search. Learn what neural search is and follow our tutorial to build a neural search service using BERT, Qdrant, and FastAPI." # external_link: https://blog.qdrant.tech/neural-search-tutorial-3f034ab13adc social_preview_image: /articles_data/neural-search-tutorial/social_preview.jpg preview_dir: /articles_data/neural-search-tutorial/preview diff --git a/qdrant-landing/content/articles/new-recommendation-api.md b/qdrant-landing/content/articles/new-recommendation-api.md index d6bf2270b..454d918e0 100644 --- a/qdrant-landing/content/articles/new-recommendation-api.md +++ b/qdrant-landing/content/articles/new-recommendation-api.md @@ -1,7 +1,7 @@ --- title: Deliver Better Recommendations with Qdrant’s new API -short_description: Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API. -description: Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API. +short_description: "Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API." +description: "Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API." preview_dir: /articles_data/new-recommendation-api/preview social_preview_image: /articles_data/new-recommendation-api/preview/social_preview.png small_preview_image: /articles_data/new-recommendation-api/icon.svg diff --git a/qdrant-landing/content/articles/practicle-examples/_index.md b/qdrant-landing/content/articles/practicle-examples/_index.md index b5da8c131..b251e8e6f 100644 --- a/qdrant-landing/content/articles/practicle-examples/_index.md +++ b/qdrant-landing/content/articles/practicle-examples/_index.md @@ -1,7 +1,7 @@ --- title: Practical Examples short_description: "Hands-on examples that show how to build production search and RAG features using Qdrant and vector embeddings." -description: Building blocks and reference implementations to help you get started with Qdrant. Learn how to use Qdrant to solve real-world problems and build the next generation of AI applications. +description: "Building blocks and reference implementations to help you get started with Qdrant. Learn how to use Qdrant to solve real-world problems and build the next generation of AI applications." category: practicle-examples url: /articles/practicle-examples/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/qdrant-0-10-release.md b/qdrant-landing/content/articles/qdrant-0-10-release.md index 09ee523ea..9e6572671 100644 --- a/qdrant-landing/content/articles/qdrant-0-10-release.md +++ b/qdrant-landing/content/articles/qdrant-0-10-release.md @@ -1,7 +1,7 @@ --- title: Qdrant 0.10 released -short_description: A short review of all the features introduced in Qdrant 0.10 -description: Qdrant 0.10 brings a lot of changes. Check out what's new! +short_description: "A short review of all the features introduced in Qdrant 0.10" +description: "Qdrant 0.10 brings a lot of changes. Check out what's new!" preview_dir: /articles_data/qdrant-0-10-release/preview small_preview_image: /articles_data/qdrant-0-10-release/new-svgrepo-com.svg social_preview_image: /articles_data/qdrant-0-10-release/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/qdrant-0-11-release.md b/qdrant-landing/content/articles/qdrant-0-11-release.md index 097f70633..6aaa7300c 100644 --- a/qdrant-landing/content/articles/qdrant-0-11-release.md +++ b/qdrant-landing/content/articles/qdrant-0-11-release.md @@ -1,7 +1,7 @@ --- title: Introducing Qdrant 0.11 -short_description: Check out what's new in Qdrant 0.11 -description: Replication support is the most important change introduced by Qdrant 0.11. Check out what else has been added! +short_description: "Check out what's new in Qdrant 0.11" +description: "Replication support is the most important change introduced by Qdrant 0.11. Check out what else has been added!" preview_dir: /articles_data/qdrant-0-11-release/preview small_preview_image: /articles_data/qdrant-0-11-release/announcement-svgrepo-com.svg social_preview_image: /articles_data/qdrant-0-11-release/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/qdrant-internals/_index.md b/qdrant-landing/content/articles/qdrant-internals/_index.md index 753b33df9..9b4419b5d 100644 --- a/qdrant-landing/content/articles/qdrant-internals/_index.md +++ b/qdrant-landing/content/articles/qdrant-internals/_index.md @@ -1,7 +1,7 @@ --- title: Qdrant Internals short_description: "Deep dives into Qdrant internals: HNSW indexing, quantization, storage layout, sharding, and query execution." -description: Take a look under the hood of Qdrant’s high-performance vector search engine. Explore the architecture, components, and design principles the Qdrant Vector Search Engine is built on. +description: "Take a look under the hood of Qdrant’s high-performance vector search engine. Explore the architecture, components, and design principles the Qdrant Vector Search Engine is built on." category: qdrant-internals url: /articles/qdrant-internals/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/quantum-quantization.md b/qdrant-landing/content/articles/quantum-quantization.md index 177f2535c..50ab8b6cf 100644 --- a/qdrant-landing/content/articles/quantum-quantization.md +++ b/qdrant-landing/content/articles/quantum-quantization.md @@ -1,7 +1,7 @@ --- title: Vector Search in constant time -short_description: Apply Quantum Computing to your search engine -description: Quantum Quantization enables vector search in constant time. This article will discuss the concept of quantum quantization for ANN vector search. +short_description: "Apply Quantum Computing to your search engine" +description: "Quantum Quantization enables vector search in constant time. This article will discuss the concept of quantum quantization for ANN vector search." preview_dir: /articles_data/quantum-quantization/preview social_preview_image: /articles_data/quantum-quantization/social_preview.png small_preview_image: /articles_data/quantum-quantization/icon.svg diff --git a/qdrant-landing/content/articles/rag-and-genai/_index.md b/qdrant-landing/content/articles/rag-and-genai/_index.md index 74730e96e..8dc38e6ce 100644 --- a/qdrant-landing/content/articles/rag-and-genai/_index.md +++ b/qdrant-landing/content/articles/rag-and-genai/_index.md @@ -1,7 +1,7 @@ --- title: RAG & GenAI short_description: "Articles on retrieval-augmented generation and GenAI patterns built on Qdrant, from agentic RAG to hybrid retrieval." -description: Leverage Qdrant for Retrieval-Augmented Generation (RAG) and build AI Agents +description: "Leverage Qdrant for Retrieval-Augmented Generation (RAG) and build AI Agents" category: rag-and-genai url: /articles/rag-and-genai/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/rag-is-dead.md b/qdrant-landing/content/articles/rag-is-dead.md index 861acaecf..80083d046 100644 --- a/qdrant-landing/content/articles/rag-is-dead.md +++ b/qdrant-landing/content/articles/rag-is-dead.md @@ -1,7 +1,7 @@ --- title: "Is RAG Dead? The Role of Vector Databases in Vector Search | Qdrant" -short_description: Learn how Qdrant’s vector database enhances enterprise AI with superior accuracy and cost-effectiveness. -description: Uncover the necessity of vector databases for RAG and learn how Qdrant's vector database empowers enterprise AI with unmatched accuracy and cost-effectiveness. +short_description: "Learn how Qdrant’s vector database enhances enterprise AI with superior accuracy and cost-effectiveness." +description: "Uncover the necessity of vector databases for RAG and learn how Qdrant's vector database empowers enterprise AI with unmatched accuracy and cost-effectiveness." social_preview_image: /articles_data/rag-is-dead/preview/social_preview.jpg small_preview_image: /articles_data/rag-is-dead/icon.svg preview_dir: /articles_data/rag-is-dead/preview diff --git a/qdrant-landing/content/articles/rapid-rag-optimization-with-qdrant-and-quotient.md b/qdrant-landing/content/articles/rapid-rag-optimization-with-qdrant-and-quotient.md index 35977160e..a92d16912 100755 --- a/qdrant-landing/content/articles/rapid-rag-optimization-with-qdrant-and-quotient.md +++ b/qdrant-landing/content/articles/rapid-rag-optimization-with-qdrant-and-quotient.md @@ -1,7 +1,7 @@ --- title: "Optimizing RAG Through an Evaluation-Based Methodology" -short_description: Learn how Qdrant-powered RAG applications can be tested and iteratively improved using LLM evaluation tools like Quotient. -description: Learn how Qdrant-powered RAG applications can be tested and iteratively improved using LLM evaluation tools like Quotient. +short_description: "Learn how Qdrant-powered RAG applications can be tested and iteratively improved using LLM evaluation tools like Quotient." +description: "Learn how Qdrant-powered RAG applications can be tested and iteratively improved using LLM evaluation tools like Quotient." social_preview_image: /articles_data/rapid-rag-optimization-with-qdrant-and-quotient/preview/social_preview.jpg small_preview_image: /articles_data/rapid-rag-optimization-with-qdrant-and-quotient/icon.svg preview_dir: /articles_data/rapid-rag-optimization-with-qdrant-and-quotient/preview diff --git a/qdrant-landing/content/articles/search-as-you-type.md b/qdrant-landing/content/articles/search-as-you-type.md index b6156cb15..fd86baa5c 100644 --- a/qdrant-landing/content/articles/search-as-you-type.md +++ b/qdrant-landing/content/articles/search-as-you-type.md @@ -1,7 +1,7 @@ --- title: Semantic Search As You Type short_description: "Instant search using Qdrant" -description: To show off Qdrant's performance, we show how to do a quick search-as-you-type that will come back within a few milliseconds. +description: "To show off Qdrant's performance, we show how to do a quick search-as-you-type that will come back within a few milliseconds." social_preview_image: /articles_data/search-as-you-type/preview/social_preview.jpg small_preview_image: /articles_data/search-as-you-type/icon.svg preview_dir: /articles_data/search-as-you-type/preview diff --git a/qdrant-landing/content/articles/seed-round.md b/qdrant-landing/content/articles/seed-round.md index bd832554e..7c5591b0a 100644 --- a/qdrant-landing/content/articles/seed-round.md +++ b/qdrant-landing/content/articles/seed-round.md @@ -1,7 +1,7 @@ --- title: On Unstructured Data, Vector Databases, New AI Age, and Our Seed Round. -short_description: On Unstructured Data, Vector Databases, New AI Age, and Our Seed Round. -description: We announce Qdrant seed round investment and share our thoughts on Vector Databases and New AI Age. +short_description: "On Unstructured Data, Vector Databases, New AI Age, and Our Seed Round." +description: "We announce Qdrant seed round investment and share our thoughts on Vector Databases and New AI Age." preview_dir: /articles_data/seed-round/preview social_preview_image: /articles_data/seed-round/seed-social.png small_preview_image: /articles_data/quantum-quantization/icon.svg diff --git a/qdrant-landing/content/articles/vector-search-manuals/_index.md b/qdrant-landing/content/articles/vector-search-manuals/_index.md index 8095972b3..c03ea2797 100644 --- a/qdrant-landing/content/articles/vector-search-manuals/_index.md +++ b/qdrant-landing/content/articles/vector-search-manuals/_index.md @@ -1,7 +1,7 @@ --- title: Vector Search Manuals short_description: "Practical manuals for vector search with Qdrant: indexing, filtering, hybrid retrieval, quantization, and scaling tips." -description: Take full control of your vector data with Qdrant. Learn how to easily store, organize, and optimize vectors for high-performance similarity search. +description: "Take full control of your vector data with Qdrant. Learn how to easily store, organize, and optimize vectors for high-performance similarity search." category: vector-search-manuals url: /articles/vector-search-manuals/ isCategoryPage: true diff --git a/qdrant-landing/content/articles/vector-similarity-beyond-search.md b/qdrant-landing/content/articles/vector-similarity-beyond-search.md index 621e83f34..06994c15c 100644 --- a/qdrant-landing/content/articles/vector-similarity-beyond-search.md +++ b/qdrant-landing/content/articles/vector-similarity-beyond-search.md @@ -1,7 +1,7 @@ --- title: "Vector Similarity: Going Beyond Full-Text Search | Qdrant" -short_description: Explore how vector similarity enhances data discovery beyond full-text search, including diversity sampling and more! -description: Discover how vector similarity expands data exploration beyond full-text search. Explore diversity sampling and more for enhanced data discovery! +short_description: "Explore how vector similarity enhances data discovery beyond full-text search, including diversity sampling and more!" +description: "Discover how vector similarity expands data exploration beyond full-text search. Explore diversity sampling and more for enhanced data discovery!" preview_dir: /articles_data/vector-similarity-beyond-search/preview small_preview_image: /articles_data/vector-similarity-beyond-search/icon.svg social_preview_image: /articles_data/vector-similarity-beyond-search/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/web-ui-gsoc.md b/qdrant-landing/content/articles/web-ui-gsoc.md index 0ce5d4a35..154489d94 100644 --- a/qdrant-landing/content/articles/web-ui-gsoc.md +++ b/qdrant-landing/content/articles/web-ui-gsoc.md @@ -1,7 +1,7 @@ --- title: Google Summer of Code 2023 - Web UI for Visualization and Exploration -short_description: Gsoc'23 Web UI for Visualization and Exploration -description: My journey as a Google Summer of Code 2023 student working on the "Web UI for Visualization and Exploration" project for Qdrant. +short_description: "Gsoc'23 Web UI for Visualization and Exploration" +description: "My journey as a Google Summer of Code 2023 student working on the \"Web UI for Visualization and Exploration\" project for Qdrant." preview_dir: /articles_data/web-ui-gsoc/preview small_preview_image: /articles_data/web-ui-gsoc/icon.svg social_preview_image: /articles_data/web-ui-gsoc/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/what-are-embeddings.md b/qdrant-landing/content/articles/what-are-embeddings.md index d9ae612ae..6cafea7b2 100644 --- a/qdrant-landing/content/articles/what-are-embeddings.md +++ b/qdrant-landing/content/articles/what-are-embeddings.md @@ -2,8 +2,8 @@ title: "What are Vector Embeddings? - Revolutionize Your Search Experience" draft: false slug: what-are-embeddings? -short_description: Explore the power of vector embeddings. Learn to use numerical machine learning representations to build a personalized Neural Search Service with Fastembed. -description: Discover the power of vector embeddings. Learn how to harness the potential of numerical machine learning representations to create a personalized Neural Search Service with FastEmbed. +short_description: "Explore the power of vector embeddings. Learn to use numerical machine learning representations to build a personalized Neural Search Service with Fastembed." +description: "Discover the power of vector embeddings. Learn how to harness the potential of numerical machine learning representations to create a personalized Neural Search Service with FastEmbed." preview_dir: /articles_data/what-are-embeddings/preview weight: -102 social_preview_image: /articles_data/what-are-embeddings/preview/social-preview.jpg diff --git a/qdrant-landing/content/articles/what-is-a-vector-database.md b/qdrant-landing/content/articles/what-is-a-vector-database.md index de2507ea5..2169f9587 100644 --- a/qdrant-landing/content/articles/what-is-a-vector-database.md +++ b/qdrant-landing/content/articles/what-is-a-vector-database.md @@ -1,8 +1,8 @@ --- title: "What is a Vector Database?" draft: false -short_description: What is a Vector Database? Use Cases & Examples | Qdrant -description: Discover what a vector database is, its core functionalities, and real-world applications. +short_description: "What is a Vector Database? Use Cases & Examples | Qdrant" +description: "Discover what a vector database is, its core functionalities, and real-world applications." preview_dir: /articles_data/what-is-a-vector-database/preview weight: -211 social_preview_image: /articles_data/what-is-a-vector-database/preview/social_preview.png diff --git a/qdrant-landing/content/articles/what-is-quantization.md b/qdrant-landing/content/articles/what-is-quantization.md index baf2de1fc..8083cdb51 100644 --- a/qdrant-landing/content/articles/what-is-quantization.md +++ b/qdrant-landing/content/articles/what-is-quantization.md @@ -2,8 +2,8 @@ title: "What is Vector Quantization?" draft: false slug: what-is-vector-quantization -short_description: What is Vector Quantization? Methods & Examples -description: In this article, we'll teach you about compression methods like Scalar, Product, and Binary Quantization. Learn how to choose the best method for your specific application. +short_description: "What is Vector Quantization? Methods & Examples" +description: "In this article, we'll teach you about compression methods like Scalar, Product, and Binary Quantization. Learn how to choose the best method for your specific application." preview_dir: /articles_data/what-is-vector-quantization/preview weight: -210 social_preview_image: /articles_data/what-is-vector-quantization/preview/social-preview.jpg diff --git a/qdrant-landing/content/articles/what-is-rag-in-ai.md b/qdrant-landing/content/articles/what-is-rag-in-ai.md index 808f9b587..2f3dff158 100644 --- a/qdrant-landing/content/articles/what-is-rag-in-ai.md +++ b/qdrant-landing/content/articles/what-is-rag-in-ai.md @@ -2,8 +2,8 @@ title: "What is RAG: Understanding Retrieval-Augmented Generation" draft: false slug: what-is-rag-in-ai? -short_description: What is RAG? -description: Explore how RAG enables LLMs to retrieve and utilize relevant external data when generating responses, rather than being limited to their original training data alone. +short_description: "What is RAG?" +description: "Explore how RAG enables LLMs to retrieve and utilize relevant external data when generating responses, rather than being limited to their original training data alone." preview_dir: /articles_data/what-is-rag-in-ai/preview weight: -150 social_preview_image: /articles_data/what-is-rag-in-ai/preview/social_preview.jpg diff --git a/qdrant-landing/content/articles/why-rust.md b/qdrant-landing/content/articles/why-rust.md index 97e25f6a6..18a10ac64 100644 --- a/qdrant-landing/content/articles/why-rust.md +++ b/qdrant-landing/content/articles/why-rust.md @@ -1,7 +1,7 @@ --- title: Why Rust? short_description: "A short history on how we chose rust and what it has brought us" -description: Qdrant could be built in any language. But it's written in Rust. Here*s why. +description: "Qdrant could be built in any language. But it's written in Rust. Here*s why." social_preview_image: /articles_data/why-rust/preview/social_preview.jpg preview_dir: /articles_data/why-rust/preview weight: 10 diff --git a/qdrant-landing/content/blog/_index.md b/qdrant-landing/content/blog/_index.md index 5ca3b8a09..65d1a005f 100644 --- a/qdrant-landing/content/blog/_index.md +++ b/qdrant-landing/content/blog/_index.md @@ -2,7 +2,7 @@ title: Qdrant Blog subtitle: Check out our latest posts short_description: "News, releases, customer stories, and engineering posts from the Qdrant team on vector search, RAG, and AI agents." -description: A place to learn how to become an expert traveler through vector space. Subscribe and we will update you on features and news. +description: "A place to learn how to become an expert traveler through vector space. Subscribe and we will update you on features and news." email_placeholder: Enter your email subscribe_button: Subscribe features_title: Features and News diff --git a/qdrant-landing/content/blog/advancements-and-challenges-in-rag-systems-syed-asad-vector-space-talks-021.md b/qdrant-landing/content/blog/advancements-and-challenges-in-rag-systems-syed-asad-vector-space-talks-021.md index 051787b76..3b7a051b8 100644 --- a/qdrant-landing/content/blog/advancements-and-challenges-in-rag-systems-syed-asad-vector-space-talks-021.md +++ b/qdrant-landing/content/blog/advancements-and-challenges-in-rag-systems-syed-asad-vector-space-talks-021.md @@ -2,10 +2,10 @@ draft: false title: Advancements and Challenges in RAG Systems - Syed Asad | Vector Space Talks slug: rag-advancements-challenges -short_description: Syed Asad talked about advanced rag systems and multimodal AI +short_description: "Syed Asad talked about advanced rag systems and multimodal AI" projects, discussing challenges, technologies, and model evaluations in the context of their work at Kiwi Tech. -description: Syed Asad unfolds the challenges of developing multimodal RAG +description: "Syed Asad unfolds the challenges of developing multimodal RAG" systems at Kiwi Tech, detailing the balance between accuracy and cost-efficiency, and exploring various tools and approaches like GPT 4 and Mixtral to enhance family tree apps and financial chatbots while navigating diff --git a/qdrant-landing/content/blog/azure-marketplace.md b/qdrant-landing/content/blog/azure-marketplace.md index 290d7ff1f..21da10931 100644 --- a/qdrant-landing/content/blog/azure-marketplace.md +++ b/qdrant-landing/content/blog/azure-marketplace.md @@ -1,8 +1,8 @@ --- draft: false title: "Qdrant is Now Available on Azure Marketplace!" -short_description: Discover the power of Qdrant on Azure Marketplace! -description: Discover the power of Qdrant on Azure Marketplace! Get started today and streamline your operations with ease. +short_description: "Discover the power of Qdrant on Azure Marketplace!" +description: "Discover the power of Qdrant on Azure Marketplace! Get started today and streamline your operations with ease." preview_image: /blog/azure-marketplace/azure-marketplace.png date: 2024-03-26T10:30:00Z author: David Myriel diff --git a/qdrant-landing/content/blog/binary-quantization-andrey-vasnetsov-vector-space-talk-001.md b/qdrant-landing/content/blog/binary-quantization-andrey-vasnetsov-vector-space-talk-001.md index 5c097d0d1..848c2b50e 100644 --- a/qdrant-landing/content/blog/binary-quantization-andrey-vasnetsov-vector-space-talk-001.md +++ b/qdrant-landing/content/blog/binary-quantization-andrey-vasnetsov-vector-space-talk-001.md @@ -2,9 +2,9 @@ draft: false title: Binary Quantization - Andrey Vasnetsov | Vector Space Talks slug: binary-quantization -short_description: Andrey Vasnetsov, CTO of Qdrant, discusses the concept of +short_description: "Andrey Vasnetsov, CTO of Qdrant, discusses the concept of" binary quantization and its applications in vector indexing. -description: Andrey Vasnetsov, CTO of Qdrant, discusses the concept of binary +description: "Andrey Vasnetsov, CTO of Qdrant, discusses the concept of binary" quantization and its benefits in vector indexing, including the challenges and potential future developments of this technique. preview_image: /blog/from_cms/andrey-vasnetsov-cropped.png diff --git a/qdrant-landing/content/blog/building-a-high-performance-entity-matching-solution-with-qdrant-rishabh-bhardwaj-vector-space-talks-005.md b/qdrant-landing/content/blog/building-a-high-performance-entity-matching-solution-with-qdrant-rishabh-bhardwaj-vector-space-talks-005.md index 19ea5e6ad..029b1bf36 100644 --- a/qdrant-landing/content/blog/building-a-high-performance-entity-matching-solution-with-qdrant-rishabh-bhardwaj-vector-space-talks-005.md +++ b/qdrant-landing/content/blog/building-a-high-performance-entity-matching-solution-with-qdrant-rishabh-bhardwaj-vector-space-talks-005.md @@ -3,9 +3,9 @@ draft: false title: Building a High-Performance Entity Matching Solution with Qdrant - Rishabh Bhardwaj | Vector Space Talks slug: entity-matching-qdrant -short_description: Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses +short_description: "Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses" building a high-performance hotel matching solution with Qdrant. -description: Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses building +description: "Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses building" a high-performance hotel matching solution with Qdrant, addressing data inconsistency, duplication, and real-time processing challenges. preview_image: /blog/from_cms/rishabh-bhardwaj-cropped.png diff --git a/qdrant-landing/content/blog/building-llm-powered-applications-in-production-hamza-farooq-vector-space-talks-006.md b/qdrant-landing/content/blog/building-llm-powered-applications-in-production-hamza-farooq-vector-space-talks-006.md index 1bc0c8c1f..d23badac7 100644 --- a/qdrant-landing/content/blog/building-llm-powered-applications-in-production-hamza-farooq-vector-space-talks-006.md +++ b/qdrant-landing/content/blog/building-llm-powered-applications-in-production-hamza-farooq-vector-space-talks-006.md @@ -3,8 +3,8 @@ draft: false title: Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks slug: llm-complex-search-copilot -short_description: Hamza Farooq discusses the future of LLMs, complex search, and copilots. -description: Hamza Farooq presents the future of large language models, complex +short_description: "Hamza Farooq discusses the future of LLMs, complex search, and copilots." +description: "Hamza Farooq presents the future of large language models, complex" search, and copilot, discussing real-world applications and the challenges of implementing these technologies in production. preview_image: /blog/from_cms/hamza-farooq-cropped.png diff --git a/qdrant-landing/content/blog/building-search-rag-for-an-openapi-spec-nick-khami-vector-space-talks.md b/qdrant-landing/content/blog/building-search-rag-for-an-openapi-spec-nick-khami-vector-space-talks.md index 0a8648388..f9cb9ef5e 100644 --- a/qdrant-landing/content/blog/building-search-rag-for-an-openapi-spec-nick-khami-vector-space-talks.md +++ b/qdrant-landing/content/blog/building-search-rag-for-an-openapi-spec-nick-khami-vector-space-talks.md @@ -2,9 +2,9 @@ draft: false title: Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talks slug: building-search-rag-open-api -short_description: Nick Khami, Founder and Engineer of Trieve, dives into the +short_description: "Nick Khami, Founder and Engineer of Trieve, dives into the" world of search and rag apps powered by Open API specs. -description: Nick Khami discuss Trieve's work with Qdrant's Open API spec for +description: "Nick Khami discuss Trieve's work with Qdrant's Open API spec for" creating powerful and simplified search and recommendation systems, touching on real-world applications, technical specifics, and the potential for improved user experiences. diff --git a/qdrant-landing/content/blog/case-study-bloop.md b/qdrant-landing/content/blog/case-study-bloop.md index 39282af2f..ae4c93f7b 100644 --- a/qdrant-landing/content/blog/case-study-bloop.md +++ b/qdrant-landing/content/blog/case-study-bloop.md @@ -2,9 +2,9 @@ draft: false title: Powering Bloop semantic code search slug: case-study-bloop -short_description: Bloop is a fast code-search engine that combines semantic +short_description: "Bloop is a fast code-search engine that combines semantic" search, regex search and precise code navigation -description: Bloop is a fast code-search engine that combines semantic search, +description: "Bloop is a fast code-search engine that combines semantic search," regex search and precise code navigation preview_image: /case-studies/bloop/social_preview.png date: 2023-02-28T09:48:00.000Z diff --git a/qdrant-landing/content/blog/case-study-dailymotion.md b/qdrant-landing/content/blog/case-study-dailymotion.md index b0adad8bc..c478a2bc0 100644 --- a/qdrant-landing/content/blog/case-study-dailymotion.md +++ b/qdrant-landing/content/blog/case-study-dailymotion.md @@ -2,8 +2,8 @@ title: "Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search" draft: false slug: case-study-dailymotion # Change this slug to your page slug if needed -short_description: Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search -description: Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search +short_description: "Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search" +description: "Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search" preview_image: /case-studies/dailymotion/preview-dailymotion.png # Change this # social_preview_image: /blog/Article-Image.png # Optional image used for link previews diff --git a/qdrant-landing/content/blog/case-study-deutsche-telekom.md b/qdrant-landing/content/blog/case-study-deutsche-telekom.md index f7b89e24f..8a6d2513b 100644 --- a/qdrant-landing/content/blog/case-study-deutsche-telekom.md +++ b/qdrant-landing/content/blog/case-study-deutsche-telekom.md @@ -2,8 +2,8 @@ title: How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant draft: false slug: case-study-deutsche-telekom -short_description: How Deutsche Telekom built a fully-fledged PaaS platform for AI agents, streamlining development and accelerating deployment of AI Agents. -description: Learn about Deutsche Telekom's requirements for scaling enterprise AI agents, key AI stack considerations, and how the team built a Platform as a Service (PaaS) - LMOS (Language Models Operating System) — a multi-agent PaaS designed for high scalability and modular AI agent deployment. +short_description: "How Deutsche Telekom built a fully-fledged PaaS platform for AI agents, streamlining development and accelerating deployment of AI Agents." +description: "Learn about Deutsche Telekom's requirements for scaling enterprise AI agents, key AI stack considerations, and how the team built a Platform as a Service (PaaS) - LMOS (Language Models Operating System) — a multi-agent PaaS designed for high scalability and modular AI agent deployment." preview_image: /blog/case-study-deutsche-telekom/social_preview_2.jpg social_preview_image: /blog/case-study-deutsche-telekom/social_preview_2.jpg date: 2025-03-07T08:00:00.000Z diff --git a/qdrant-landing/content/blog/case-study-dust.md b/qdrant-landing/content/blog/case-study-dust.md index f297f4163..3232478af 100644 --- a/qdrant-landing/content/blog/case-study-dust.md +++ b/qdrant-landing/content/blog/case-study-dust.md @@ -3,7 +3,7 @@ title: "Dust and Qdrant: Using AI to Unlock Company Knowledge and Drive Employee draft: false slug: dust-and-qdrant short_description: "How Dust uses Qdrant to power retrieval-augmented AI assistants that surface company knowledge and boost employee productivity." -description: Using AI to Unlock Company Knowledge and Drive Employee Productivity +description: "Using AI to Unlock Company Knowledge and Drive Employee Productivity" preview_image: /case-studies/dust/preview.png date: 2024-02-06T07:03:26-08:00 author: Manuel Meyer diff --git a/qdrant-landing/content/blog/case-study-pienso.md b/qdrant-landing/content/blog/case-study-pienso.md index d0175ab95..aab46c355 100644 --- a/qdrant-landing/content/blog/case-study-pienso.md +++ b/qdrant-landing/content/blog/case-study-pienso.md @@ -2,9 +2,9 @@ draft: false title: "Pienso & Qdrant: Future Proofing Generative AI for Enterprise-Level Customers" slug: case-study-pienso -short_description: Why Pienso chose Qdrant as a cornerstone for building +short_description: "Why Pienso chose Qdrant as a cornerstone for building" domain-specific foundation models. -description: Why Pienso chose Qdrant as a cornerstone for building +description: "Why Pienso chose Qdrant as a cornerstone for building" domain-specific foundation models. preview_image: /case-studies/pienso/social_preview.png date: 2023-02-28T09:48:00.000Z diff --git a/qdrant-landing/content/blog/cohere-embedding-v3.md b/qdrant-landing/content/blog/cohere-embedding-v3.md index b1020d22e..d329d0017 100644 --- a/qdrant-landing/content/blog/cohere-embedding-v3.md +++ b/qdrant-landing/content/blog/cohere-embedding-v3.md @@ -4,9 +4,9 @@ preview_image: /blog/from_cms/nils-thumbnail.png title: "From Content Quality to Compression: The Evolution of Embedding Models at Cohere with Nils Reimers" slug: cohere-embedding-v3 -short_description: Nils Reimers head of machine learning at Cohere shares the +short_description: "Nils Reimers head of machine learning at Cohere shares the" details about their latest embedding model. -description: Nils Reimers head of machine learning at Cohere comes on the recent +description: "Nils Reimers head of machine learning at Cohere comes on the recent" vector space talks to share details about their latest embedding V3 model. date: 2023-11-19T12:48:36.622Z author: Demetrios Brinkmann diff --git a/qdrant-landing/content/blog/colpali-optimization.md b/qdrant-landing/content/blog/colpali-optimization.md index 536fe78ca..d9191baab 100644 --- a/qdrant-landing/content/blog/colpali-optimization.md +++ b/qdrant-landing/content/blog/colpali-optimization.md @@ -2,8 +2,8 @@ title: "Optimizing ColPali for Retrieval at Scale, 13x Faster Results" draft: false slug: colpali-qdrant-optimization # Change this slug to your page slug if needed -short_description: Learn how we optimized ColPali, a document retrieval system, to be 13x faster for datasets of 20,000+ PDFs. Discover how pooling and reranking boost scalability while maintaining precision. # Change this -description: ColPali combines text and visual contexts for precise document retrieval, but scaling posed challenges. We achieved 13x faster retrieval using pooling and reranking, reducing vector counts by ~30x while retaining near-original accuracy. Explore the open-source demo to optimize your retrieval workflows! # Change this +short_description: "Learn how we optimized ColPali, a document retrieval system, to be 13x faster for datasets of 20,000+ PDFs. Discover how pooling and reranking boost scalability while maintaining precision. # Change this" +description: "ColPali combines text and visual contexts for precise document retrieval, but scaling posed challenges. We achieved 13x faster retrieval using pooling and reranking, reducing vector counts by ~30x while retaining near-original accuracy. Explore the open-source demo to optimize your retrieval workflows! # Change this" preview_image: /blog/colpali-optimization/preview-2.png # Change this social_preview_image: /blog/colpali-optimization/preview-2.png # Optional image used for link previews diff --git a/qdrant-landing/content/blog/community-highlights-1.md b/qdrant-landing/content/blog/community-highlights-1.md index 6696c3e11..a21062a45 100644 --- a/qdrant-landing/content/blog/community-highlights-1.md +++ b/qdrant-landing/content/blog/community-highlights-1.md @@ -2,8 +2,8 @@ title: "Community Highlights #1" draft: false slug: community-highlights-1 # Change this slug to your page slug if needed -short_description: Celebrating top contributions and achievements in vector search, featuring standout projects, articles, and the Creator of the Month, Pavan Kumar. # Change this -description: Celebrating top contributions and achievements in vector search, featuring standout projects, articles, and the Creator of the Month, Pavan Kumar! +short_description: "Celebrating top contributions and achievements in vector search, featuring standout projects, articles, and the Creator of the Month, Pavan Kumar. # Change this" +description: "Celebrating top contributions and achievements in vector search, featuring standout projects, articles, and the Creator of the Month, Pavan Kumar!" preview_image: /blog/community-highlights-1/preview-image.png social_preview_image: /blog/community-highlights-1/preview-image.png diff --git a/qdrant-landing/content/blog/cve-2024-2221-response.md b/qdrant-landing/content/blog/cve-2024-2221-response.md index 70b103784..1e167ca69 100644 --- a/qdrant-landing/content/blog/cve-2024-2221-response.md +++ b/qdrant-landing/content/blog/cve-2024-2221-response.md @@ -2,8 +2,8 @@ title: "Response to CVE-2024-2221: Arbitrary file upload vulnerability" draft: false slug: cve-2024-2221-response -short_description: Qdrant keeps your systems secure -description: Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected. +short_description: "Qdrant keeps your systems secure" +description: "Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected." preview_image: /blog/cve-2024-2221/cve-2024-2221-response-social-preview.png # social_preview_image: /blog/Article-Image.png # Optional image used for link previews diff --git a/qdrant-landing/content/blog/cve-2024-3829-response.md b/qdrant-landing/content/blog/cve-2024-3829-response.md index 5e37d02db..eca706bc0 100644 --- a/qdrant-landing/content/blog/cve-2024-3829-response.md +++ b/qdrant-landing/content/blog/cve-2024-3829-response.md @@ -2,8 +2,8 @@ title: "Response to CVE-2024-3829: Arbitrary file upload vulnerability" draft: false slug: cve-2024-3829-response -short_description: Qdrant keeps your systems secure -description: Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected. +short_description: "Qdrant keeps your systems secure" +description: "Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected." preview_image: /blog/cve-2024-3829-response/cve-2024-3829-response-social-preview.png # social_preview_image: /blog/Article-Image.png # Optional image used for link previews diff --git a/qdrant-landing/content/blog/datatalk-club-podcast-plug.md b/qdrant-landing/content/blog/datatalk-club-podcast-plug.md index 08e0d44a6..4869e36a3 100644 --- a/qdrant-landing/content/blog/datatalk-club-podcast-plug.md +++ b/qdrant-landing/content/blog/datatalk-club-podcast-plug.md @@ -2,8 +2,8 @@ title: "Navigating challenges and innovations in search technologies" draft: false slug: navigating-challenges-innovations -short_description: Podcast on search and LLM with Datatalk.club -description: Podcast on search and LLM with Datatalk.club +short_description: "Podcast on search and LLM with Datatalk.club" +description: "Podcast on search and LLM with Datatalk.club" preview_image: /blog/navigating-challenges-innovations/preview/preview.png date: 2024-01-12T15:39:53.751Z author: Atita Arora diff --git a/qdrant-landing/content/blog/decay-functions.md b/qdrant-landing/content/blog/decay-functions.md index 064e2bff1..c2c7f0b3b 100644 --- a/qdrant-landing/content/blog/decay-functions.md +++ b/qdrant-landing/content/blog/decay-functions.md @@ -2,8 +2,8 @@ title: "Untangling Relevance Score Boosting and Decay Functions" draft: false slug: decay-functions # Change this slug to your page slug if needed -short_description: Why's and how's of decay functions in Qdrant's relevance score boosting. # Change this -description: Understanding decay functions for relevance score boosting. # Change this +short_description: "Why's and how's of decay functions in Qdrant's relevance score boosting. # Change this" +description: "Understanding decay functions for relevance score boosting. # Change this" preview_image: /blog/decay-functions/preview/preview.jpg # Change this title_preview_image: /blog/decay-functions/preview/title.jpg # Optional image used for blog post title date: 2025-09-01T14:55:45+02:00 diff --git a/qdrant-landing/content/blog/dspy-vs-langchain.md b/qdrant-landing/content/blog/dspy-vs-langchain.md index 0e31dd7fc..6a9434d7f 100644 --- a/qdrant-landing/content/blog/dspy-vs-langchain.md +++ b/qdrant-landing/content/blog/dspy-vs-langchain.md @@ -1,7 +1,7 @@ --- title: "DSPy vs LangChain: A Comprehensive Framework Comparison" #required -short_description: DSPy and LangChain are powerful frameworks for building AI applications leveraging LLMs and vector search technology. -description: We dive deep into the capabilities of DSPy and LangChain and discuss scenarios where each of these frameworks shine. #required +short_description: "DSPy and LangChain are powerful frameworks for building AI applications leveraging LLMs and vector search technology." +description: "We dive deep into the capabilities of DSPy and LangChain and discuss scenarios where each of these frameworks shine. #required" social_preview_image: /blog/dspy-vs-langchain/dspy-langchain.png # This image will be used in preview_image: /blog/dspy-vs-langchain/dspy-langchain.png author: Qdrant Team # Author of the article. Required. diff --git a/qdrant-landing/content/blog/fastembed-fast-lightweight-embedding-generation-nirant-kasliwal-vector-space-talks-004.md b/qdrant-landing/content/blog/fastembed-fast-lightweight-embedding-generation-nirant-kasliwal-vector-space-talks-004.md index 4e9fb5137..f95f0b035 100644 --- a/qdrant-landing/content/blog/fastembed-fast-lightweight-embedding-generation-nirant-kasliwal-vector-space-talks-004.md +++ b/qdrant-landing/content/blog/fastembed-fast-lightweight-embedding-generation-nirant-kasliwal-vector-space-talks-004.md @@ -3,9 +3,9 @@ draft: false title: "FastEmbed: Fast & Lightweight Embedding Generation - Nirant Kasliwal | Vector Space Talks" slug: fast-embed-models -short_description: Nirant Kasliwal, AI Engineer at Qdrant, discusses the power +short_description: "Nirant Kasliwal, AI Engineer at Qdrant, discusses the power" and potential of embedding models. -description: Nirant Kasliwal discusses the efficiency and optimization +description: "Nirant Kasliwal discusses the efficiency and optimization" techniques of FastEmbed, a Python library designed for speedy, lightweight embedding generation in machine learning applications. preview_image: /blog/from_cms/nirant-kasliwal-cropped.png diff --git a/qdrant-landing/content/blog/fastllm-announcement.md b/qdrant-landing/content/blog/fastllm-announcement.md index cbd0e6d8d..21bf2a2ea 100644 --- a/qdrant-landing/content/blog/fastllm-announcement.md +++ b/qdrant-landing/content/blog/fastllm-announcement.md @@ -1,8 +1,8 @@ --- draft: false title: "Introducing FastLLM: Qdrant’s Revolutionary LLM" -short_description: The most powerful LLM known to human...or LLM. -description: Lightweight and open-source. Custom made for RAG and completely integrated with Qdrant. +short_description: "The most powerful LLM known to human...or LLM." +description: "Lightweight and open-source. Custom made for RAG and completely integrated with Qdrant." preview_image: /blog/fastllm-announcement/fastllm.png date: 2024-04-01T00:00:00Z author: David Myriel diff --git a/qdrant-landing/content/blog/gen-ai-and-vector-search-iveta-lohovska-vector-space-talks.md b/qdrant-landing/content/blog/gen-ai-and-vector-search-iveta-lohovska-vector-space-talks.md index a7fa9d837..8095bcef8 100644 --- a/qdrant-landing/content/blog/gen-ai-and-vector-search-iveta-lohovska-vector-space-talks.md +++ b/qdrant-landing/content/blog/gen-ai-and-vector-search-iveta-lohovska-vector-space-talks.md @@ -2,10 +2,10 @@ draft: false title: Iveta Lohovska on Gen AI and Vector Search | Qdrant slug: gen-ai-and-vector-search -short_description: Iveta talks about the importance of trustworthy AI, +short_description: "Iveta talks about the importance of trustworthy AI," particularly when implementing it within high-stakes enterprises like governments and security agencies -description: Discover valuable insights on generative AI, vector search, and ethical AI implementation from Iveta Lohovska, Chief Technologist at HPE. +description: "Discover valuable insights on generative AI, vector search, and ethical AI implementation from Iveta Lohovska, Chief Technologist at HPE." preview_image: /blog/from_cms/iveta-lohovska-bp-cropped.png date: 2024-04-11T22:12:00.000Z author: Demetrios Brinkmann diff --git a/qdrant-landing/content/blog/gsoc24-summer-of-code.md b/qdrant-landing/content/blog/gsoc24-summer-of-code.md index ed9c8fe36..a0ff2dab7 100644 --- a/qdrant-landing/content/blog/gsoc24-summer-of-code.md +++ b/qdrant-landing/content/blog/gsoc24-summer-of-code.md @@ -2,7 +2,7 @@ draft: false title: Qdrant Summer of Code 24 slug: qdrant-summer-of-code-24 -short_description: Introducing Qdrant Summer of Code 2024 program. +short_description: "Introducing Qdrant Summer of Code 2024 program." description: "Introducing Qdrant Summer of Code 2024 program. GSoC alternative." preview_image: /blog/Qdrant-summer-of-code.png date: 2024-02-21T00:39:53.751Z diff --git a/qdrant-landing/content/blog/hitchhikers-guide.md b/qdrant-landing/content/blog/hitchhikers-guide.md index 8551af819..03b4e04ea 100644 --- a/qdrant-landing/content/blog/hitchhikers-guide.md +++ b/qdrant-landing/content/blog/hitchhikers-guide.md @@ -2,8 +2,8 @@ title: "The Hitchhiker's Guide to Vector Search" draft: false slug: hitchhikers-guide -short_description: A Qdrant Star shares her hard-won lessons from her extensive open-source building -description: A Qdrant Star shares her hard-won lessons from her extensive open-source building +short_description: "A Qdrant Star shares her hard-won lessons from her extensive open-source building" +description: "A Qdrant Star shares her hard-won lessons from her extensive open-source building" preview_image: /blog/hitchhikers-guide/preview/preview.jpg social_preview_image: /blog/hitchhikers-guide/preview/social_preview.jpg # Optional image used for link previews title_preview_image: /blog/hitchhikers-guide/preview/title.jpg # Optional image used for blog post title diff --git a/qdrant-landing/content/blog/how-to-meow-on-the-long-tail-with-cheshire-cat-ai-piero-and-nicola-vector-space-talks.md b/qdrant-landing/content/blog/how-to-meow-on-the-long-tail-with-cheshire-cat-ai-piero-and-nicola-vector-space-talks.md index eee99a086..ec3b615ca 100644 --- a/qdrant-landing/content/blog/how-to-meow-on-the-long-tail-with-cheshire-cat-ai-piero-and-nicola-vector-space-talks.md +++ b/qdrant-landing/content/blog/how-to-meow-on-the-long-tail-with-cheshire-cat-ai-piero-and-nicola-vector-space-talks.md @@ -3,9 +3,9 @@ draft: false title: How to meow on the long tail with Cheshire Cat AI? - Piero and Nicola | Vector Space Talks slug: meow-with-cheshire-cat -short_description: Piero Savastano and Nicola Procopio discusses the ins and +short_description: "Piero Savastano and Nicola Procopio discusses the ins and" outs of Cheshire Cat AI. -description: Cheshire Cat AI's Piero Savastano and Nicola Procopio discusses the +description: "Cheshire Cat AI's Piero Savastano and Nicola Procopio discusses the" framework's vector space complexities, community growth, and future cloud-based expansions. preview_image: /blog/from_cms/piero-and-nicola-bp-cropped.png diff --git a/qdrant-landing/content/blog/hybrid-cloud.md b/qdrant-landing/content/blog/hybrid-cloud.md index 2f76c68b9..2a349c907 100644 --- a/qdrant-landing/content/blog/hybrid-cloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud.md @@ -2,8 +2,8 @@ draft: false title: "Qdrant Hybrid Cloud: the First Managed Vector Database You Can Run Anywhere" slug: hybrid-cloud -short_description: -description: +short_description: "Announcing Qdrant Hybrid Cloud — the first managed vector database that runs in any cloud, on-premise, or edge environment with full data sovereignty." +description: "Qdrant Hybrid Cloud launch: deploy a managed vector database on any Kubernetes infrastructure — cloud, on-premise, or edge — with full data sovereignty." preview_image: /blog/hybrid-cloud/hybrid-cloud.png social_preview_image: /blog/hybrid-cloud/hybrid-cloud.png date: 2024-04-15T00:01:00Z diff --git a/qdrant-landing/content/blog/indexify-unveiled-diptanu-gon-choudhury-vector-space-talk-009.md b/qdrant-landing/content/blog/indexify-unveiled-diptanu-gon-choudhury-vector-space-talk-009.md index e4c0dc4f4..e6b2b76de 100644 --- a/qdrant-landing/content/blog/indexify-unveiled-diptanu-gon-choudhury-vector-space-talk-009.md +++ b/qdrant-landing/content/blog/indexify-unveiled-diptanu-gon-choudhury-vector-space-talk-009.md @@ -2,9 +2,9 @@ draft: false title: Indexify Unveiled - Diptanu Gon Choudhury | Vector Space Talks slug: indexify-content-extraction-engine -short_description: Diptanu Gon Choudhury discusses how Indexify is transforming +short_description: "Diptanu Gon Choudhury discusses how Indexify is transforming" the AI-driven workflow in enterprises today. -description: Diptanu Gon Choudhury shares insights on re-imaging Spark and data +description: "Diptanu Gon Choudhury shares insights on re-imaging Spark and data" infrastructure while discussing his work on Indexify to enhance AI-driven workflows and knowledge bases. preview_image: /blog/from_cms/diptanu-choudhury-cropped.png diff --git a/qdrant-landing/content/blog/insight-generation-platform-for-lifescience-corporation-hooman-sedghamiz-vector-space-talks-014.md b/qdrant-landing/content/blog/insight-generation-platform-for-lifescience-corporation-hooman-sedghamiz-vector-space-talks-014.md index 841e2834d..cd7561384 100644 --- a/qdrant-landing/content/blog/insight-generation-platform-for-lifescience-corporation-hooman-sedghamiz-vector-space-talks-014.md +++ b/qdrant-landing/content/blog/insight-generation-platform-for-lifescience-corporation-hooman-sedghamiz-vector-space-talks-014.md @@ -3,9 +3,9 @@ draft: false title: Insight Generation Platform for LifeScience Corporation - Hooman Sedghamiz | Vector Space Talks slug: insight-generation-platform -short_description: Hooman Sedghamiz explores the potential of large language +short_description: "Hooman Sedghamiz explores the potential of large language" models in creating cutting-edge AI applications. -description: Hooman Sedghamiz discloses the potential of AI in life sciences, +description: "Hooman Sedghamiz discloses the potential of AI in life sciences," from custom knowledge applications to improving crop yield predictions, while tearing apart the nuances of in-house AI deployment for multi-faceted enterprise efficiency. diff --git a/qdrant-landing/content/blog/introducing-the-quaterion-a-framework-for-fine-tuning-similarity-learning-models.md b/qdrant-landing/content/blog/introducing-the-quaterion-a-framework-for-fine-tuning-similarity-learning-models.md index c32a022bf..2b6853d59 100644 --- a/qdrant-landing/content/blog/introducing-the-quaterion-a-framework-for-fine-tuning-similarity-learning-models.md +++ b/qdrant-landing/content/blog/introducing-the-quaterion-a-framework-for-fine-tuning-similarity-learning-models.md @@ -5,9 +5,9 @@ sitemapExclude: true title: "Introducing the Quaterion: a framework for fine-tuning similarity learning models" slug: quaterion -short_description: Please meet Quaterion—a framework for training and +short_description: "Please meet Quaterion—a framework for training and" fine-tuning similarity learning models. -description: We're happy to share the result of the work we've been into during +description: "We're happy to share the result of the work we've been into during" the last months - Quaterion. It is a framework for fine-tuning similarity learning models that streamlines the training process to make it significantly faster and cost-efficient. diff --git a/qdrant-landing/content/blog/iris-agent-qdrant.md b/qdrant-landing/content/blog/iris-agent-qdrant.md index 57b3b2a23..ac56f817c 100644 --- a/qdrant-landing/content/blog/iris-agent-qdrant.md +++ b/qdrant-landing/content/blog/iris-agent-qdrant.md @@ -2,8 +2,8 @@ title: "IrisAgent and Qdrant: Redefining Customer Support with AI" draft: false slug: iris-agent-qdrant -short_description: Pushing the boundaries of AI in customer support -description: Learn how IrisAgent leverages Qdrant for RAG to automate support, and improve resolution times, transforming customer service +short_description: "Pushing the boundaries of AI in customer support" +description: "Learn how IrisAgent leverages Qdrant for RAG to automate support, and improve resolution times, transforming customer service" preview_image: /case-studies/iris/irisagent-qdrant.png date: 2024-03-06T07:45:34-08:00 diff --git a/qdrant-landing/content/blog/metadata-deasy-labs.md b/qdrant-landing/content/blog/metadata-deasy-labs.md index 6bdc1de7a..5fb58db3b 100644 --- a/qdrant-landing/content/blog/metadata-deasy-labs.md +++ b/qdrant-landing/content/blog/metadata-deasy-labs.md @@ -2,8 +2,8 @@ title: "Metadata automation and optimization - Reece Griffiths | Vector Space Talks" draft: false slug: metadata-deasy-labs # Change this slug to your page slug if needed -short_description: Reece Griffiths discusses the power of metadata in retrieval-augmented generation (RAG), how Deasy Labs automates metadata, and best practices for metadata optimization. -description: Metadata plays a critical role in vector search accuracy, yet it’s often overlooked. In this episode of Vector Space Talks, Reece Griffiths, CEO of Deasy Labs, explains why metadata automation is essential for scalable AI systems. He walks us through how Deasy Labs orchestrates metadata extraction, classification, and enrichment to boost retrieval efficiency. +short_description: "Reece Griffiths discusses the power of metadata in retrieval-augmented generation (RAG), how Deasy Labs automates metadata, and best practices for metadata optimization." +description: "Metadata plays a critical role in vector search accuracy, yet it’s often overlooked. In this episode of Vector Space Talks, Reece Griffiths, CEO of Deasy Labs, explains why metadata automation is essential for scalable AI systems. He walks us through how Deasy Labs orchestrates metadata extraction, classification, and enrichment to boost retrieval efficiency." preview_image: /blog/metadata-deasy-labs/preview.jpg social_preview_image: /blog/metadata-deasy-labs/social_preview.png title_preview_image: /blog/metadata-deasy-labs/title.jpg # Optional image used for diff --git a/qdrant-landing/content/blog/miriad-qdrant.md b/qdrant-landing/content/blog/miriad-qdrant.md index fa08a1c0e..8eb0c2e0d 100644 --- a/qdrant-landing/content/blog/miriad-qdrant.md +++ b/qdrant-landing/content/blog/miriad-qdrant.md @@ -2,8 +2,8 @@ title: "Qdrant for Research: The Story Behind ETH & Stanford’s MIRIAD Dataset" draft: false slug: miriad-qdrant -short_description: Discover how Qdrant contributed to ETH & Stanford researchers’ mission to advance the development of AI in medicine. -description: Discover how Qdrant contributed to ETH & Stanford researchers’ mission to advance the development of AI in medicine. +short_description: "Discover how Qdrant contributed to ETH & Stanford researchers’ mission to advance the development of AI in medicine." +description: "Discover how Qdrant contributed to ETH & Stanford researchers’ mission to advance the development of AI in medicine." preview_image: /blog/miriad-qdrant/preview/preview.jpg social_preview_image: /blog/miriad-qdrant/preview/social_preview.jpg # Optional image used for link previews title_preview_image: /blog/miriad-qdrant/preview/title.jpg # Optional image used for blog post title diff --git a/qdrant-landing/content/blog/mmr-diversity-aware-reranking.md b/qdrant-landing/content/blog/mmr-diversity-aware-reranking.md index 729c7d2c9..f7966b3ec 100644 --- a/qdrant-landing/content/blog/mmr-diversity-aware-reranking.md +++ b/qdrant-landing/content/blog/mmr-diversity-aware-reranking.md @@ -2,8 +2,8 @@ draft: false title: Balancing Relevance and Diversity with MMR Search slug: mmr-diversity-aware-reranking -short_description: Discover how Qdrant's Maximum Marginal Relevance (MMR) balances relevance with diversity in fashion search to avoid echo chambers of similar results. -description: Learn how to implement Maximum Marginal Relevance (MMR) with Qdrant to create diverse search results in fashion discovery. This guide shows how to balance relevance and diversity using the DeepFashion dataset and CLIP embeddings. +short_description: "Discover how Qdrant's Maximum Marginal Relevance (MMR) balances relevance with diversity in fashion search to avoid echo chambers of similar results." +description: "Learn how to implement Maximum Marginal Relevance (MMR) with Qdrant to create diverse search results in fashion discovery. This guide shows how to balance relevance and diversity using the DeepFashion dataset and CLIP embeddings." preview_image: /blog/mmr-diversity-aware-reranking/preview/preview.webp social_preview_image: /blog/mmr-diversity-aware-reranking/preview/social_preview.jpg title_preview_image: /blog/mmr-diversity-aware-reranking/preview/title.webp diff --git a/qdrant-landing/content/blog/n8n-node.md b/qdrant-landing/content/blog/n8n-node.md index 9a536514c..63f6a99d3 100644 --- a/qdrant-landing/content/blog/n8n-node.md +++ b/qdrant-landing/content/blog/n8n-node.md @@ -2,8 +2,8 @@ title: "​​Introducing the Official Qdrant Node for n8n" draft: false slug: n8n-node -short_description: Qdrant now has an official, team-supported node for n8n. -description: Qdrant now has an official, team-supported node for n8n. +short_description: "Qdrant now has an official, team-supported node for n8n." +description: "Qdrant now has an official, team-supported node for n8n." preview_image: /blog/n8n-node/n8n-node-blog-hero.jpg date: 2025-06-09 author: Maddie Duhon & Evgeniya Sukhodolskaya diff --git a/qdrant-landing/content/blog/neural-search-tutorial.md b/qdrant-landing/content/blog/neural-search-tutorial.md index f7093d052..33e6fc7c1 100644 --- a/qdrant-landing/content/blog/neural-search-tutorial.md +++ b/qdrant-landing/content/blog/neural-search-tutorial.md @@ -2,8 +2,8 @@ draft: true title: Neural Search Tutorial slug: neural-search-tutorial -short_description: Neural Search Tutorial -description: Step-by-step guide on how to build a neural search service. +short_description: "Neural Search Tutorial" +description: "Step-by-step guide on how to build a neural search service." preview_image: /blog/from_cms/1_vghoj7gujfjazpdmm9ebxa.webp date: 2024-01-05T14:09:57.544Z author: Andrey Vasnetsov diff --git a/qdrant-landing/content/blog/new-0-7-update-of-the-qdrant-engine-went-live.md b/qdrant-landing/content/blog/new-0-7-update-of-the-qdrant-engine-went-live.md index 898611866..5a54409d2 100644 --- a/qdrant-landing/content/blog/new-0-7-update-of-the-qdrant-engine-went-live.md +++ b/qdrant-landing/content/blog/new-0-7-update-of-the-qdrant-engine-went-live.md @@ -2,8 +2,8 @@ draft: true title: New 0.7.0 update of the Qdrant engine went live slug: qdrant-0-7-0-released -short_description: Qdrant v0.7.0 engine has been released -description: Qdrant v0.7.0 engine has been released +short_description: "Qdrant v0.7.0 engine has been released" +description: "Qdrant v0.7.0 engine has been released" preview_image: /blog/from_cms/v0.7.0.png date: 2022-04-13T08:57:07.604Z author: Alyona Kavyerina diff --git a/qdrant-landing/content/blog/open-source-vector-search-engine-and-vector-database.md b/qdrant-landing/content/blog/open-source-vector-search-engine-and-vector-database.md index 0d3c114f9..b9dc525d5 100644 --- a/qdrant-landing/content/blog/open-source-vector-search-engine-and-vector-database.md +++ b/qdrant-landing/content/blog/open-source-vector-search-engine-and-vector-database.md @@ -2,10 +2,10 @@ draft: false title: Optimizing an Open Source Vector Database with Andrey Vasnetsov slug: open-source-vector-search-engine-vector-database -short_description: CTO of Qdrant Andrey talks about Vector search engines and +short_description: "CTO of Qdrant Andrey talks about Vector search engines and" the technical facets and challenges encountered in developing an open-source vector database. -description: Learn key strategies for optimizing vector search from Andrey Vasnetsov, CTO at Qdrant. Dive into techniques like efficient indexing for improved performance. +description: "Learn key strategies for optimizing vector search from Andrey Vasnetsov, CTO at Qdrant. Dive into techniques like efficient indexing for improved performance." preview_image: /blog/from_cms/andrey-vasnetsov-cropped.png date: 2024-01-10T16:04:57.804Z author: Demetrios Brinkmann diff --git a/qdrant-landing/content/blog/pienso-qdrant-future-proofing-generative-ai-for-enterprise-level-customers.md b/qdrant-landing/content/blog/pienso-qdrant-future-proofing-generative-ai-for-enterprise-level-customers.md index 9f00e236a..e82145975 100644 --- a/qdrant-landing/content/blog/pienso-qdrant-future-proofing-generative-ai-for-enterprise-level-customers.md +++ b/qdrant-landing/content/blog/pienso-qdrant-future-proofing-generative-ai-for-enterprise-level-customers.md @@ -2,8 +2,8 @@ draft: true title: "Pienso & Qdrant: Future Proofing Generative AI for Enterprise-Level Customers" slug: pienso-case-study -short_description: Case study -description: Case study +short_description: "Case study" +description: "Case study" preview_image: /blog/from_cms/title.webp date: 2024-01-05T15:10:57.473Z author: Author diff --git a/qdrant-landing/content/blog/product-ui-changes.md b/qdrant-landing/content/blog/product-ui-changes.md index a4c5d999a..d2367b0a5 100644 --- a/qdrant-landing/content/blog/product-ui-changes.md +++ b/qdrant-landing/content/blog/product-ui-changes.md @@ -2,7 +2,7 @@ draft: false title: "Exploring Qdrant Cloud Just Got Easier" short_description: "Read about recent improvements designed to simplfiy your journey with Qdrant." -description: Read about recent improvements designed to simplify your journey from login, creating your first cluster, prototyping, and going to production. +description: "Read about recent improvements designed to simplify your journey from login, creating your first cluster, prototyping, and going to production." preview_image: /blog/product-ui-changes/new-ui-hero-final.jpg social_preview_image: /blog/product-ui-changes/new-ui-hero-final.jpg title_preview_image: /blog/product-ui-changes/new-ui-hero-final.jpg diff --git a/qdrant-landing/content/blog/production-scale-rag-for-real-time-news-distillation-robert-caulk-vector-space-talks.md b/qdrant-landing/content/blog/production-scale-rag-for-real-time-news-distillation-robert-caulk-vector-space-talks.md index 8e6e583ae..1c9bd8fe1 100644 --- a/qdrant-landing/content/blog/production-scale-rag-for-real-time-news-distillation-robert-caulk-vector-space-talks.md +++ b/qdrant-landing/content/blog/production-scale-rag-for-real-time-news-distillation-robert-caulk-vector-space-talks.md @@ -3,9 +3,9 @@ draft: false title: Production-scale RAG for Real-Time News Distillation - Robert Caulk | Vector Space Talks slug: real-time-news-distillation-rag -short_description: Robert Caulk tackles the challenges and innovations in open +short_description: "Robert Caulk tackles the challenges and innovations in open" source AI and news article modeling. -description: Robert Caulk, founder of Emergent Methods, discusses the +description: "Robert Caulk, founder of Emergent Methods, discusses the" complexities of context engineering, the power of Newscatcher API for broader news access, and the sophisticated use of tools like Qdrant for improved recommendation systems, all while emphasizing the importance of efficiency and diff --git a/qdrant-landing/content/blog/qdrant-cloud-on-microsoft-azure.md b/qdrant-landing/content/blog/qdrant-cloud-on-microsoft-azure.md index f49bdccb6..0c835f4ae 100644 --- a/qdrant-landing/content/blog/qdrant-cloud-on-microsoft-azure.md +++ b/qdrant-landing/content/blog/qdrant-cloud-on-microsoft-azure.md @@ -2,7 +2,7 @@ draft: false title: Introducing Qdrant Cloud on Microsoft Azure slug: qdrant-cloud-on-microsoft-azure -short_description: Qdrant Cloud is now available on Microsoft Azure +short_description: "Qdrant Cloud is now available on Microsoft Azure" description: "Learn the benefits of Qdrant Cloud on Azure." preview_image: /blog/from_cms/qdrant-azure-2-1.png date: 2024-01-17T08:40:42Z diff --git a/qdrant-landing/content/blog/qdrant-has-joined-nvidia-inception-program.md b/qdrant-landing/content/blog/qdrant-has-joined-nvidia-inception-program.md index 69e345b7d..270cc6afe 100644 --- a/qdrant-landing/content/blog/qdrant-has-joined-nvidia-inception-program.md +++ b/qdrant-landing/content/blog/qdrant-has-joined-nvidia-inception-program.md @@ -4,8 +4,8 @@ preview_image: /blog/from_cms/inception.png sitemapExclude: true title: Qdrant has joined NVIDIA Inception Program slug: qdrant-joined-nvidia-inception-program -short_description: Recently Qdrant has become a member of the NVIDIA Inception. -description: Along with the various opportunities it gives, we are the most +short_description: "Recently Qdrant has become a member of the NVIDIA Inception." +description: "Along with the various opportunities it gives, we are the most" excited about GPU support since it is an essential feature in Qdrant's roadmap. Stay tuned for our new updates. date: 2022-04-04T12:06:36.819Z diff --git a/qdrant-landing/content/blog/qdrant-n8n.md b/qdrant-landing/content/blog/qdrant-n8n.md index bf8a7b4f1..779577694 100644 --- a/qdrant-landing/content/blog/qdrant-n8n.md +++ b/qdrant-landing/content/blog/qdrant-n8n.md @@ -2,8 +2,8 @@ title: "Chat with a codebase using Qdrant and N8N" draft: false slug: qdrant-n8n -short_description: Integration demo -description: Building a RAG-based chatbot using Qdrant and N8N to chat with a codebase on GitHub +short_description: "Integration demo" +description: "Building a RAG-based chatbot using Qdrant and N8N to chat with a codebase on GitHub" preview_image: /blog/qdrant-n8n/preview.jpg date: 2024-01-06T04:09:05+05:30 author: Anush Shetty diff --git a/qdrant-landing/content/blog/qdrant-relari.md b/qdrant-landing/content/blog/qdrant-relari.md index 4638e1c56..a825a5731 100644 --- a/qdrant-landing/content/blog/qdrant-relari.md +++ b/qdrant-landing/content/blog/qdrant-relari.md @@ -1,8 +1,8 @@ --- draft: false title: "Data-Driven RAG Evaluation: Testing Qdrant Apps with Relari AI" -short_description: Enhancing RAG systems with vector search and data-driven RAG evaluation. -description: Learn how Qdrant and Relari enhance RAG systems with vector search and data-driven RAG evaluation. +short_description: "Enhancing RAG systems with vector search and data-driven RAG evaluation." +description: "Learn how Qdrant and Relari enhance RAG systems with vector search and data-driven RAG evaluation." preview_image: /blog/qdrant-relari/preview.png social_preview_image: /blog/qdrant-relari/preview.png date: 2024-09-16T00:02:00Z diff --git a/qdrant-landing/content/blog/qdrant-stars-announcement copy.md b/qdrant-landing/content/blog/qdrant-stars-announcement copy.md index e7daf58f3..e43b46b45 100644 --- a/qdrant-landing/content/blog/qdrant-stars-announcement copy.md +++ b/qdrant-landing/content/blog/qdrant-stars-announcement copy.md @@ -2,8 +2,8 @@ title: "Introducing Qdrant Stars: Join Our Ambassador Program!" draft: false slug: qdrant-stars-announcement # Change this slug to your page slug if needed -short_description: Qdrant Stars recognizes and supports key contributors to the Qdrant ecosystem through content creation and community leadership. # Change this -description: Say hello to the first Qdrant Stars and learn more about our new ambassador program! +short_description: "Qdrant Stars recognizes and supports key contributors to the Qdrant ecosystem through content creation and community leadership. # Change this" +description: "Say hello to the first Qdrant Stars and learn more about our new ambassador program!" preview_image: /blog/qdrant-stars-announcement/preview-image.png social_preview_image: /blog/qdrant-stars-announcement/preview-image.png date: 2024-05-19T11:57:37-03:00 diff --git a/qdrant-landing/content/blog/qdrant-supports-arm-architecture.md b/qdrant-landing/content/blog/qdrant-supports-arm-architecture.md index 898e40ef6..cc7425744 100644 --- a/qdrant-landing/content/blog/qdrant-supports-arm-architecture.md +++ b/qdrant-landing/content/blog/qdrant-supports-arm-architecture.md @@ -2,9 +2,9 @@ draft: false title: Qdrant supports ARM architecture! slug: qdrant-supports-arm-architecture -short_description: Qdrant announces ARM architecture support, expanding +short_description: "Qdrant announces ARM architecture support, expanding" accessibility and performance for their advanced data indexing technology. -description: Qdrant's support for ARM architecture marks a pivotal step in +description: "Qdrant's support for ARM architecture marks a pivotal step in" enhancing accessibility and performance. This development optimizes data indexing and retrieval. preview_image: /blog/from_cms/docker-preview.png diff --git a/qdrant-landing/content/blog/qdrant-unstructured.md b/qdrant-landing/content/blog/qdrant-unstructured.md index 2d8147004..64f501fe8 100644 --- a/qdrant-landing/content/blog/qdrant-unstructured.md +++ b/qdrant-landing/content/blog/qdrant-unstructured.md @@ -1,8 +1,8 @@ --- title: Loading Unstructured.io Data into Qdrant from the Terminal slug: qdrant-unstructured -short_description: Loading Unstructured Data into Qdrant from the Terminal -description: Learn how to simplify the process of loading unstructured data into Qdrant using the Qdrant Unstructured destination. +short_description: "Loading Unstructured Data into Qdrant from the Terminal" +description: "Learn how to simplify the process of loading unstructured data into Qdrant using the Qdrant Unstructured destination." preview_image: /blog/qdrant-unstructured/preview.jpg date: 2024-01-09T00:41:38+05:30 author: Anush Shetty diff --git a/qdrant-landing/content/blog/qdrant-updated-benchmarks-2024.md b/qdrant-landing/content/blog/qdrant-updated-benchmarks-2024.md index 5ae01697d..96f7f09ee 100644 --- a/qdrant-landing/content/blog/qdrant-updated-benchmarks-2024.md +++ b/qdrant-landing/content/blog/qdrant-updated-benchmarks-2024.md @@ -2,8 +2,8 @@ title: "Qdrant Updated Benchmarks 2024" draft: false slug: qdrant-benchmarks-2024 # Change this slug to your page slug if needed -short_description: Qdrant Updated Benchmarks 2024 # Change this -description: We've compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis # Change this +short_description: "Qdrant Updated Benchmarks 2024 # Change this" +description: "We've compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis # Change this" preview_image: /benchmarks/social-preview.png # Change this categories: - News diff --git a/qdrant-landing/content/blog/qdrant-v-0-6-0-engine-with-grpc-released.md b/qdrant-landing/content/blog/qdrant-v-0-6-0-engine-with-grpc-released.md index a532ae646..c33b3c7f7 100644 --- a/qdrant-landing/content/blog/qdrant-v-0-6-0-engine-with-grpc-released.md +++ b/qdrant-landing/content/blog/qdrant-v-0-6-0-engine-with-grpc-released.md @@ -1,8 +1,8 @@ --- draft: true title: Qdrant v0.6.0 engine with gRPC interface has been released -short_description: We’ve released a new engine, version 0.6.0. -description: We’ve released a new engine, version 0.6.0. The main feature of the release in the gRPC interface. +short_description: "We’ve released a new engine, version 0.6.0." +description: "We’ve released a new engine, version 0.6.0. The main feature of the release in the gRPC interface." preview_image: /blog/qdrant-v-0-6-0-engine-with-grpc-released/upload_time.png date: 2022-03-10T01:36:43+03:00 author: Alyona Kavyerina diff --git a/qdrant-landing/content/blog/qdrant-x-dust-how-vector-search-helps-make-work-work-better-stan-polu-vector-space-talk-010.md b/qdrant-landing/content/blog/qdrant-x-dust-how-vector-search-helps-make-work-work-better-stan-polu-vector-space-talk-010.md index 1d7ae4c99..b3f4efe11 100644 --- a/qdrant-landing/content/blog/qdrant-x-dust-how-vector-search-helps-make-work-work-better-stan-polu-vector-space-talk-010.md +++ b/qdrant-landing/content/blog/qdrant-x-dust-how-vector-search-helps-make-work-work-better-stan-polu-vector-space-talk-010.md @@ -2,9 +2,9 @@ draft: false title: "Unlocking AI Potential: Insights from Stanislas Polu" slug: qdrant-x-dust-vector-search -short_description: Stanislas shares insights from his experiences at Stripe and +short_description: "Stanislas shares insights from his experiences at Stripe and" founding his own company, Dust, focusing on AI technology's product layer. -description: Explore the dynamic discussion with Stanislas Polu on AI, ML, entrepreneurship, and product development. Gain valuable insights into AI's transformative power. +description: "Explore the dynamic discussion with Stanislas Polu on AI, ML, entrepreneurship, and product development. Gain valuable insights into AI's transformative power." preview_image: /blog/from_cms/stan-polu-cropped.png date: 2024-01-26T16:22:37.487Z author: Demetrios Brinkmann diff --git a/qdrant-landing/content/blog/qsoc24-interns-announcement.md b/qdrant-landing/content/blog/qsoc24-interns-announcement.md index db1e0886c..5aa53ce4b 100644 --- a/qdrant-landing/content/blog/qsoc24-interns-announcement.md +++ b/qdrant-landing/content/blog/qsoc24-interns-announcement.md @@ -2,8 +2,8 @@ title: "QSoC 2024: Announcing Our Interns!" draft: false slug: qsoc24-interns-announcement # Change this slug to your page slug if needed -short_description: We are pleased to announce the selection of interns for the inaugural Qdrant Summer of Code (QSoC) program. # Change this -description: We are pleased to announce the selection of interns for the inaugural Qdrant Summer of Code (QSoC) program. # Change this +short_description: "We are pleased to announce the selection of interns for the inaugural Qdrant Summer of Code (QSoC) program. # Change this" +description: "We are pleased to announce the selection of interns for the inaugural Qdrant Summer of Code (QSoC) program. # Change this" preview_image: /blog/qsoc24-interns-announcement/qsoc.jpg # Change this social_preview_image: /blog/qsoc24-interns-announcement/qsoc.jpg # Optional image used for link previews diff --git a/qdrant-landing/content/blog/series-A-funding-round.md b/qdrant-landing/content/blog/series-A-funding-round.md index 98c845078..4c2952bb8 100644 --- a/qdrant-landing/content/blog/series-A-funding-round.md +++ b/qdrant-landing/content/blog/series-A-funding-round.md @@ -2,8 +2,8 @@ draft: false title: "Announcing Qdrant's $28M Series A Funding Round" slug: series-A-funding-round -short_description: -description: +short_description: "Qdrant raises a $28M Series A led by Spark Capital to accelerate the next generation of enterprise-grade vector search and AI applications." +description: "Qdrant announces a $28M Series A funding round led by Spark Capital, fueling continued growth of the open-source vector database for enterprise AI." preview_image: /blog/series-A-funding-round/series-A.png social_preview_image: /blog/series-A-funding-round/series-A.png date: 2024-01-23T09:00:00.000Z diff --git a/qdrant-landing/content/blog/soc2-type2-report.md b/qdrant-landing/content/blog/soc2-type2-report.md index 165a84e46..0d19dd398 100644 --- a/qdrant-landing/content/blog/soc2-type2-report.md +++ b/qdrant-landing/content/blog/soc2-type2-report.md @@ -2,8 +2,8 @@ title: "Qdrant Attains SOC 2 Type II Audit Report" draft: false slug: qdrant-soc2-type2-audit # Change this slug to your page slug if needed -short_description: We're proud to announce achieving SOC 2 Type II compliance for Security, Availability, Processing Integrity, Confidentiality, and Privacy. -description: We're proud to announce achieving SOC 2 Type II compliance for Security, Availability, and Confidentiality. +short_description: "We're proud to announce achieving SOC 2 Type II compliance for Security, Availability, Processing Integrity, Confidentiality, and Privacy." +description: "We're proud to announce achieving SOC 2 Type II compliance for Security, Availability, and Confidentiality." preview_image: /blog/soc2-type2-report/soc2-preview.jpeg # social_preview_image: /blog/soc2-type2-report/soc2-preview.jpeg diff --git a/qdrant-landing/content/blog/superpower-your-semantic-search-using-vector-database-nicolas-mauti-vector-space-talk-007.md b/qdrant-landing/content/blog/superpower-your-semantic-search-using-vector-database-nicolas-mauti-vector-space-talk-007.md index 03a71d594..328fddbd2 100644 --- a/qdrant-landing/content/blog/superpower-your-semantic-search-using-vector-database-nicolas-mauti-vector-space-talk-007.md +++ b/qdrant-landing/content/blog/superpower-your-semantic-search-using-vector-database-nicolas-mauti-vector-space-talk-007.md @@ -3,9 +3,9 @@ draft: false title: How to Superpower Your Semantic Search Using a Vector Database Vector Space Talks slug: semantic-search-vector-database -short_description: Nicolas Mauti and his team at Malt discusses how they +short_description: "Nicolas Mauti and his team at Malt discusses how they" revolutionize the way freelancers connect with projects. -description: Unlock the secrets of supercharging semantic search with Nicolas Mauti's insights on leveraging vector databases. Discover advanced strategies. +description: "Unlock the secrets of supercharging semantic search with Nicolas Mauti's insights on leveraging vector databases. Discover advanced strategies." preview_image: /blog/from_cms/nicolas-mauti-cropped.png date: 2024-01-09T12:27:18.659Z author: Demetrios Brinkmann diff --git a/qdrant-landing/content/blog/talk-with-youtube-without-paying-a-cent-francesco-saverio-zuppichini-vector-space-talks.md b/qdrant-landing/content/blog/talk-with-youtube-without-paying-a-cent-francesco-saverio-zuppichini-vector-space-talks.md index f59dfbc22..2039c3ee7 100644 --- a/qdrant-landing/content/blog/talk-with-youtube-without-paying-a-cent-francesco-saverio-zuppichini-vector-space-talks.md +++ b/qdrant-landing/content/blog/talk-with-youtube-without-paying-a-cent-francesco-saverio-zuppichini-vector-space-talks.md @@ -3,9 +3,9 @@ draft: false title: Talk with YouTube without paying a cent - Francesco Saverio Zuppichini | Vector Space Talks slug: youtube-without-paying-cent -short_description: A sneak peek into the tech world as Francesco shares his +short_description: "A sneak peek into the tech world as Francesco shares his" ideas and processes on coding innovative solutions. -description: Francesco Zuppichini outlines the process of converting YouTube +description: "Francesco Zuppichini outlines the process of converting YouTube" video subtitles into searchable vector databases, leveraging tools like YouTube DL and Hugging Face, and addressing the challenges of coding without conventional frameworks in machine learning engineering. diff --git a/qdrant-landing/content/blog/teaching-vector-databases-at-scale-alfredo-deza-vector-space-talks-019-2.md b/qdrant-landing/content/blog/teaching-vector-databases-at-scale-alfredo-deza-vector-space-talks-019-2.md index e77619ef2..5044d74e0 100644 --- a/qdrant-landing/content/blog/teaching-vector-databases-at-scale-alfredo-deza-vector-space-talks-019-2.md +++ b/qdrant-landing/content/blog/teaching-vector-databases-at-scale-alfredo-deza-vector-space-talks-019-2.md @@ -2,9 +2,9 @@ draft: false title: Teaching Vector Databases at Scale - Alfredo Deza | Vector Space Talks slug: teaching-vector-db-at-scale -short_description: Alfredo Deza tackles AI teaching, the intersection of +short_description: "Alfredo Deza tackles AI teaching, the intersection of" technology and academia, and the value of consistent learning. -description: Alfredo Deza discusses the practicality of machine learning +description: "Alfredo Deza discusses the practicality of machine learning" operations, highlighting how personal interest in topics like wine datasets enhances engagement, while reflecting on the synergies between his professional sportsman discipline and the persistent, straightforward approach diff --git a/qdrant-landing/content/blog/template.md b/qdrant-landing/content/blog/template.md index c743d4b45..3c1eb5f84 100644 --- a/qdrant-landing/content/blog/template.md +++ b/qdrant-landing/content/blog/template.md @@ -3,8 +3,8 @@ draft: true # What does this mean? published blogs say false or true title: Title # Name of the blog with character count max of XX sitemapExclude: true # What does this mean?? slug: slug-example # This is your URL after /blog BUT write instructions on how to avoid 404 -short_description: Description # What is this and why is it shorter -description: Description # What is this and why is it longer +short_description: "Description # What is this and why is it shorter" +description: "Description # What is this and why is it longer" preview_image: /blog/from_cms/alfredo-deza-bp-cropped.png social_preview_image: /blog/metadata-deasy-labs/social_preview.png # insert what the specs are title_preview_image: /blog/metadata-deasy-labs/title.jpg # Optional image used for ??? diff --git a/qdrant-landing/content/blog/the-bitter-lesson-of-retrieval-in-generative-language-model-workflows-mikko-lehtimäki-vector-space-talks.md b/qdrant-landing/content/blog/the-bitter-lesson-of-retrieval-in-generative-language-model-workflows-mikko-lehtimäki-vector-space-talks.md index 7940588ff..73a99fe50 100644 --- a/qdrant-landing/content/blog/the-bitter-lesson-of-retrieval-in-generative-language-model-workflows-mikko-lehtimäki-vector-space-talks.md +++ b/qdrant-landing/content/blog/the-bitter-lesson-of-retrieval-in-generative-language-model-workflows-mikko-lehtimäki-vector-space-talks.md @@ -3,9 +3,9 @@ draft: false title: The Bitter Lesson of Retrieval in Generative Language Model Workflows - Mikko Lehtimäki | Vector Space Talks slug: bitter-lesson-generative-language-model -short_description: Mikko Lehtimäki discusses the challenges and techniques in +short_description: "Mikko Lehtimäki discusses the challenges and techniques in" implementing retrieval augmented generation for Yokot AI -description: Mikko Lehtimäki delves into the intricate world of +description: "Mikko Lehtimäki delves into the intricate world of" retrieval-augmented generation, discussing how Yokot AI manages vast diverse data inputs and how focusing on re-ranking can massively improve LLM workflows and output quality. diff --git a/qdrant-landing/content/blog/using-qdrant-and-langchain.md b/qdrant-landing/content/blog/using-qdrant-and-langchain.md index 3d27800b1..4eacedcbb 100644 --- a/qdrant-landing/content/blog/using-qdrant-and-langchain.md +++ b/qdrant-landing/content/blog/using-qdrant-and-langchain.md @@ -1,8 +1,8 @@ --- draft: false title: "Integrating Qdrant and LangChain for Advanced Vector Similarity Search" -short_description: Discover how Qdrant and LangChain can be integrated to enhance AI applications. -description: Discover how Qdrant and LangChain can be integrated to enhance AI applications with advanced vector similarity search technology. +short_description: "Discover how Qdrant and LangChain can be integrated to enhance AI applications." +description: "Discover how Qdrant and LangChain can be integrated to enhance AI applications with advanced vector similarity search technology." preview_image: /blog/using-qdrant-and-langchain/qdrant-langchain.png date: 2024-03-12T09:00:00Z author: David Myriel diff --git a/qdrant-landing/content/blog/v0-9-0-update-of-the-qdrant-engine-went-live.md b/qdrant-landing/content/blog/v0-9-0-update-of-the-qdrant-engine-went-live.md index dcd9dabe7..df5d9919e 100644 --- a/qdrant-landing/content/blog/v0-9-0-update-of-the-qdrant-engine-went-live.md +++ b/qdrant-landing/content/blog/v0-9-0-update-of-the-qdrant-engine-went-live.md @@ -2,8 +2,8 @@ draft: true title: v0.9.0 update of the Qdrant engine went live slug: qdrant-v090-release -short_description: We've released the new version of Qdrant engine - v.0.9.0. -description: We’ve released the new version of Qdrant engine - v.0.9.0. It features the dynamic cluster scaling capabilities. Now Qdrant is more flexible with cluster deployment, allowing to move +short_description: "We've released the new version of Qdrant engine - v.0.9.0." +description: "We’ve released the new version of Qdrant engine - v.0.9.0. It features the dynamic cluster scaling capabilities. Now Qdrant is more flexible with cluster deployment, allowing to move" preview_image: /blog/qdrant-v.0.9.0-release-update.png date: 2022-08-08T14:54:45.476Z author: Alyona Kavyerina diff --git a/qdrant-landing/content/blog/vector-image-search-rag-vector-space-talk-008.md b/qdrant-landing/content/blog/vector-image-search-rag-vector-space-talk-008.md index 9d2677f0f..e36c039a9 100644 --- a/qdrant-landing/content/blog/vector-image-search-rag-vector-space-talk-008.md +++ b/qdrant-landing/content/blog/vector-image-search-rag-vector-space-talk-008.md @@ -3,9 +3,9 @@ draft: false title: "Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks" slug: vector-image-search-rag -short_description: Noé Achache discusses their projects in image search and RAG +short_description: "Noé Achache discusses their projects in image search and RAG" and its complexities. -description: Noé Achache shares insights on vector search complexities, +description: "Noé Achache shares insights on vector search complexities," discussing projects on image matching, document retrieval, and handling sensitive medical data with practical solutions and industry challenges. preview_image: /blog/from_cms/noé-achache-cropped.png diff --git a/qdrant-landing/content/blog/vector-search-and-applications-by-andrey-vasnetsov-cto-at-qdrant.md b/qdrant-landing/content/blog/vector-search-and-applications-by-andrey-vasnetsov-cto-at-qdrant.md index 01e115bb3..df0fa753a 100644 --- a/qdrant-landing/content/blog/vector-search-and-applications-by-andrey-vasnetsov-cto-at-qdrant.md +++ b/qdrant-landing/content/blog/vector-search-and-applications-by-andrey-vasnetsov-cto-at-qdrant.md @@ -3,9 +3,9 @@ draft: false title: '"Vector search and applications" by Andrey Vasnetsov, CTO at Qdrant' preview_image: /blog/from_cms/ramsri-podcast-preview.png slug: vector-search-and-applications-record -short_description: Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared +short_description: "Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared" about vector search and applications with Learn NLP Academy.  -description: Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared about +description: "Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared about" vector search and applications with Learn NLP Academy.  date: 2023-12-11T12:16:42.004Z author: Alyona Kavyerina diff --git a/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talk-012.md b/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talk-012.md index ee99e2b08..21be52953 100644 --- a/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talk-012.md +++ b/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talk-012.md @@ -2,8 +2,8 @@ draft: false title: The challenges in using LLM-as-a-Judge - Sourabh Agrawal | Vector Space Talks slug: llm-as-a-judge -short_description: Sourabh Agrawal explores the world of AI chatbots. -description: Everything you need to know about chatbots, Sourabh Agrawal goes in +short_description: "Sourabh Agrawal explores the world of AI chatbots." +description: "Everything you need to know about chatbots, Sourabh Agrawal goes in" to detail on evaluating their performance, from real-time to post-feedback assessments, and introduces uptrendAI—an open-source tool for enhancing chatbot interactions through customized and logical evaluations. diff --git a/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talks.md b/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talks.md index 86145b2bd..1e5f22826 100644 --- a/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talks.md +++ b/qdrant-landing/content/blog/vector-search-for-content-based-video-recommendation-gladys-and-sam-vector-space-talks.md @@ -3,9 +3,9 @@ draft: false title: Vector Search for Content-Based Video Recommendation - Gladys and Samuel from Dailymotion slug: vector-search-vector-recommendation -short_description: Gladys Roch and Samuel Leonardo Gracio join us in this +short_description: "Gladys Roch and Samuel Leonardo Gracio join us in this" episode to share their knowledge on content-based recommendation. -description: Gladys Roch and Samuel Leonardo Gracio from Dailymotion, discussed +description: "Gladys Roch and Samuel Leonardo Gracio from Dailymotion, discussed" optimizing video recommendations using Qdrant's vector search alongside challenges and solutions in content-based recommender systems. preview_image: /blog/from_cms/gladys-and-sam-bp-cropped.png diff --git a/qdrant-landing/content/blog/virtualbrain-best-rag-to-unleash-the-real-power-of-ai-guillaume-marquis-vector-space-talks.md b/qdrant-landing/content/blog/virtualbrain-best-rag-to-unleash-the-real-power-of-ai-guillaume-marquis-vector-space-talks.md index c6f2cf8ae..af2289a0e 100644 --- a/qdrant-landing/content/blog/virtualbrain-best-rag-to-unleash-the-real-power-of-ai-guillaume-marquis-vector-space-talks.md +++ b/qdrant-landing/content/blog/virtualbrain-best-rag-to-unleash-the-real-power-of-ai-guillaume-marquis-vector-space-talks.md @@ -3,9 +3,9 @@ draft: false title: "VirtualBrain: Best RAG to unleash the real power of AI - Guillaume Marquis | Vector Space Talks" slug: virtualbrain-best-rag -short_description: Let's explore information retrieval with Guillaume Marquis, +short_description: "Let's explore information retrieval with Guillaume Marquis," CTO & Co-Founder at VirtualBrain. -description: Guillaume Marquis, CTO & Co-Founder at VirtualBrain, reveals the +description: "Guillaume Marquis, CTO & Co-Founder at VirtualBrain, reveals the" mechanics of advanced document retrieval with RAG technology, discussing the challenges of scalability, up-to-date information, and navigating user feedback to enhance the productivity of knowledge workers. diff --git a/qdrant-landing/content/blog/when-music-just-doesnt-match-our-vibe-can-ai-help-filip-makraduli-vector-space-talks-003.md b/qdrant-landing/content/blog/when-music-just-doesnt-match-our-vibe-can-ai-help-filip-makraduli-vector-space-talks-003.md index 3eb1935c1..33dd2de38 100644 --- a/qdrant-landing/content/blog/when-music-just-doesnt-match-our-vibe-can-ai-help-filip-makraduli-vector-space-talks-003.md +++ b/qdrant-landing/content/blog/when-music-just-doesnt-match-our-vibe-can-ai-help-filip-makraduli-vector-space-talks-003.md @@ -3,9 +3,9 @@ draft: false title: When music just doesn't match our vibe, can AI help? - Filip Makraduli | Vector Space Talks slug: human-language-ai-models -short_description: Filip Makraduli discusses using AI to create personalized +short_description: "Filip Makraduli discusses using AI to create personalized" music recommendations based on user mood and vibe descriptions. -description: Filip Makraduli discusses using human language and AI to capture +description: "Filip Makraduli discusses using human language and AI to capture" music vibes, encoding text with sentence transformers, generating recommendations through vector spaces, integrating Streamlit and Spotify API, and future improvements for AI-powered music recommendations. diff --git a/qdrant-landing/content/course/_index.md b/qdrant-landing/content/course/_index.md index 19d446f4b..501515308 100644 --- a/qdrant-landing/content/course/_index.md +++ b/qdrant-landing/content/course/_index.md @@ -1,7 +1,7 @@ --- title: "Qdrant Academy" short_description: "Qdrant Academy: free, structured courses on vector search, hybrid retrieval, multivectors, and production-grade AI search applications." -description: Master vector search and AI-powered applications with Qdrant Academy. Free, self-paced courses guide you from beginner to expert with hands-on projects, code notebooks, and certification. +description: "Master vector search and AI-powered applications with Qdrant Academy. Free, self-paced courses guide you from beginner to expert with hands-on projects, code notebooks, and certification." weight: 50 --- diff --git a/qdrant-landing/content/course/essentials/_index.md b/qdrant-landing/content/course/essentials/_index.md index 51825162e..4d6d1d3e4 100644 --- a/qdrant-landing/content/course/essentials/_index.md +++ b/qdrant-landing/content/course/essentials/_index.md @@ -2,7 +2,7 @@ title: "Qdrant Essentials Course" page_title: Qdrant Essentials Course short_description: "Build production vector search skills in seven days: hybrid retrieval, multivector reranking, quantization, sharding, and multitenancy." -description: Learn hybrid search, multivectors, and production deployment in 7 days. Build and ship a docs search engine. +description: "Learn hybrid search, multivectors, and production deployment in 7 days. Build and ship a docs search engine." content: sidebarTitle: Qdrant Essentials menuTitle: diff --git a/qdrant-landing/content/course/essentials/certification/_index.md b/qdrant-landing/content/course/essentials/certification/_index.md index c404b2ad3..4aaf35957 100644 --- a/qdrant-landing/content/course/essentials/certification/_index.md +++ b/qdrant-landing/content/course/essentials/certification/_index.md @@ -1,7 +1,7 @@ --- title: "Qdrant Essentials Certification" short_description: "Validate your Qdrant Essentials skills with an official certification exam covering HNSW indexing, hybrid search, and production optimization." -description: Get officially certified by Qdrant today! +description: "Get officially certified by Qdrant today!" isLesson: true weight: 100 --- diff --git a/qdrant-landing/content/course/essentials/day-0/_index.md b/qdrant-landing/content/course/essentials/day-0/_index.md index e9e612223..e596591be 100644 --- a/qdrant-landing/content/course/essentials/day-0/_index.md +++ b/qdrant-landing/content/course/essentials/day-0/_index.md @@ -1,7 +1,7 @@ --- title: "Day 0: Setup and First Steps" short_description: "Day 0 of Qdrant Essentials: set up Qdrant Cloud, build a first vector search, and ship a working starter project." -description: Set up Qdrant and build your first vector search app. Learn how to configure Qdrant Cloud, run a basic search, and complete your first project. +description: "Set up Qdrant and build your first vector search app. Learn how to configure Qdrant Cloud, run a basic search, and complete your first project." isLesson: true weight: 10 --- diff --git a/qdrant-landing/content/course/essentials/day-0/building-simple-vector-search.md b/qdrant-landing/content/course/essentials/day-0/building-simple-vector-search.md index 918ba6a8c..31bd5e12a 100644 --- a/qdrant-landing/content/course/essentials/day-0/building-simple-vector-search.md +++ b/qdrant-landing/content/course/essentials/day-0/building-simple-vector-search.md @@ -1,7 +1,7 @@ --- title: "Implementing a Basic Vector Search" short_description: "Walk through your first vector search: connect to Qdrant, create a collection, insert points, and run similarity queries with the Python client." -description: Learn how to build a basic vector search in Qdrant. Create collections, insert vectors, and run your first similarity search step-by-step with Python. +description: "Learn how to build a basic vector search in Qdrant. Create collections, insert vectors, and run your first similarity search step-by-step with Python." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-0/pitstop-project.md b/qdrant-landing/content/course/essentials/day-0/pitstop-project.md index eed658857..e8b31976f 100644 --- a/qdrant-landing/content/course/essentials/day-0/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-0/pitstop-project.md @@ -1,7 +1,7 @@ --- title: "Project: Building Your First Vector Search System" short_description: "Hands-on starter project: build a working vector search system with a collection, points, payloads, similarity search, and filter conditions." -description: Apply your Qdrant skills to build a complete vector search system. Create collections, insert data, run similarity and filtered searches, and share your results. +description: "Apply your Qdrant skills to build a complete vector search system. Create collections, insert data, run similarity and filtered searches, and share your results." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-0/qdrant-cloud.md b/qdrant-landing/content/course/essentials/day-0/qdrant-cloud.md index c43dbd0c3..69d038538 100644 --- a/qdrant-landing/content/course/essentials/day-0/qdrant-cloud.md +++ b/qdrant-landing/content/course/essentials/day-0/qdrant-cloud.md @@ -1,7 +1,7 @@ --- title: "Qdrant Setup" short_description: "Spin up a managed Qdrant Cloud cluster, generate API keys, and explore the Web UI for collections, points, and cluster monitoring." -description: Set up your Qdrant Cloud cluster in minutes. Learn to create collections, manage data, access the Web UI, and connect securely from Python. +description: "Set up your Qdrant Cloud cluster in minutes. Learn to create collections, manage data, access the Web UI, and connect securely from Python." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-1/_index.md b/qdrant-landing/content/course/essentials/day-1/_index.md index 2108693a9..d5fcfe056 100644 --- a/qdrant-landing/content/course/essentials/day-1/_index.md +++ b/qdrant-landing/content/course/essentials/day-1/_index.md @@ -1,7 +1,7 @@ --- title: "Day 1: Vector Search Fundamentals" short_description: "Day 1 of Qdrant Essentials: points, vectors, payloads, distance metrics, chunking strategies, and a hands-on semantic search build." -description: Learn vector search fundamentals in Qdrant. Explore points, payloads, and distance metrics, then apply them in a hands-on semantic movie search project. +description: "Learn vector search fundamentals in Qdrant. Explore points, payloads, and distance metrics, then apply them in a hands-on semantic movie search project." isLesson: true weight: 20 --- diff --git a/qdrant-landing/content/course/essentials/day-1/chunking-strategies.md b/qdrant-landing/content/course/essentials/day-1/chunking-strategies.md index 100d0fbd3..be9448543 100644 --- a/qdrant-landing/content/course/essentials/day-1/chunking-strategies.md +++ b/qdrant-landing/content/course/essentials/day-1/chunking-strategies.md @@ -1,7 +1,7 @@ --- title: "Text Chunking Strategies" short_description: "Compare text chunking strategies and learn how to split documents into chunks that align with embedding model context windows for precise retrieval." -description: Learn how to split text into meaningful chunks for vector search. Compare six chunking strategies and discover how metadata improves retrieval precision in Qdrant. +description: "Learn how to split text into meaningful chunks for vector search. Compare six chunking strategies and discover how metadata improves retrieval precision in Qdrant." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-1/distance-metrics.md b/qdrant-landing/content/course/essentials/day-1/distance-metrics.md index 22676cb3c..6c0d95e27 100644 --- a/qdrant-landing/content/course/essentials/day-1/distance-metrics.md +++ b/qdrant-landing/content/course/essentials/day-1/distance-metrics.md @@ -1,7 +1,7 @@ --- title: "Distance Metrics" short_description: "Compare cosine, dot product, and Euclidean distance for vector search, and learn how to pick the right metric for your embedding model." -description: Learn how distance metrics like cosine, Euclidean, Manhattan, and dot product shape vector similarity in Qdrant. Discover which metric fits your data and use case. +description: "Learn how distance metrics like cosine, Euclidean, Manhattan, and dot product shape vector similarity in Qdrant. Discover which metric fits your data and use case." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-1/embedding-models.md b/qdrant-landing/content/course/essentials/day-1/embedding-models.md index 5a568ebea..3df9fc0cf 100644 --- a/qdrant-landing/content/course/essentials/day-1/embedding-models.md +++ b/qdrant-landing/content/course/essentials/day-1/embedding-models.md @@ -1,7 +1,7 @@ --- title: "Points, Vectors and Payloads" short_description: "Understand Qdrant's core data model: points, payloads, dense vectors, sparse vectors, and multivectors for flexible vector search." -description: Learn Qdrant’s core data model with points, vectors, payloads, and named vectors. Compare dense, sparse, and multivectors, understand dimensionality trade-offs, and master filtering with payload indexes for precise retrieval. +description: "Learn Qdrant’s core data model with points, vectors, payloads, and named vectors. Compare dense, sparse, and multivectors, understand dimensionality trade-offs, and master filtering with payload indexes for precise retrieval." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-1/movie-search-system.md b/qdrant-landing/content/course/essentials/day-1/movie-search-system.md index 285306965..4b88cc2f8 100644 --- a/qdrant-landing/content/course/essentials/day-1/movie-search-system.md +++ b/qdrant-landing/content/course/essentials/day-1/movie-search-system.md @@ -1,7 +1,7 @@ --- title: "Demo: Semantic Movie Search" short_description: "Walk through a semantic movie search demo using sentence embeddings, payload metadata, and chunking to retrieve films by theme and concept." -description: Build a semantic movie search with Qdrant. Compare chunking strategies, embed descriptions, and combine cosine similarity with metadata filters and grouping for accurate, theme-aware recommendations. +description: "Build a semantic movie search with Qdrant. Compare chunking strategies, embed descriptions, and combine cosine similarity with metadata filters and grouping for accurate, theme-aware recommendations." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-1/pitstop-project.md b/qdrant-landing/content/course/essentials/day-1/pitstop-project.md index 6ed91c067..e757eb564 100644 --- a/qdrant-landing/content/course/essentials/day-1/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-1/pitstop-project.md @@ -1,7 +1,7 @@ --- title: "Project: Building a Semantic Search Engine" short_description: "Build a domain-specific semantic search engine and compare chunking strategies to see how preprocessing shapes retrieval quality." -description: Build a semantic search engine with Qdrant. Compare chunking strategies, index embeddings, and query by meaning to discover what works best for your domain. +description: "Build a semantic search engine with Qdrant. Compare chunking strategies, index embeddings, and query by meaning to discover what works best for your domain." weight: 6 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-2/_index.md b/qdrant-landing/content/course/essentials/day-2/_index.md index 2674415c4..089e1b634 100644 --- a/qdrant-landing/content/course/essentials/day-2/_index.md +++ b/qdrant-landing/content/course/essentials/day-2/_index.md @@ -1,7 +1,7 @@ --- title: "Day 2: Indexing and Performance" short_description: "Day 2 of Qdrant Essentials: HNSW indexing, filterable HNSW, payload indexes, and tuning recall and latency for fast vector search." -description: Learn how Qdrant’s HNSW indexing accelerates vector search. Explore index parameters, filtering integration, and performance tuning to balance speed, recall, and precision. +description: "Learn how Qdrant’s HNSW indexing accelerates vector search. Explore index parameters, filtering integration, and performance tuning to balance speed, recall, and precision." isLesson: true weight: 30 --- diff --git a/qdrant-landing/content/course/essentials/day-2/collection-tuning-demo.md b/qdrant-landing/content/course/essentials/day-2/collection-tuning-demo.md index 4b50abb37..3cf2f52f0 100644 --- a/qdrant-landing/content/course/essentials/day-2/collection-tuning-demo.md +++ b/qdrant-landing/content/course/essentials/day-2/collection-tuning-demo.md @@ -1,7 +1,7 @@ --- title: "Demo: HNSW Performance Tuning" short_description: "Tune HNSW parameters and payload indexes on a large embedding dataset to optimize bulk upload speed, search latency, and filter performance." -description: Tune Qdrant’s HNSW index for speed and precision. Optimize bulk uploads, test filters, and benchmark performance on a real 100K OpenAI embedding dataset. +description: "Tune Qdrant’s HNSW index for speed and precision. Optimize bulk uploads, test filters, and benchmark performance on a real 100K OpenAI embedding dataset." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-2/filterable-hnsw.md b/qdrant-landing/content/course/essentials/day-2/filterable-hnsw.md index 02d28de2d..411c876b4 100644 --- a/qdrant-landing/content/course/essentials/day-2/filterable-hnsw.md +++ b/qdrant-landing/content/course/essentials/day-2/filterable-hnsw.md @@ -1,7 +1,7 @@ --- title: "Combining Vector Search and Filtering" short_description: "Combine vector search with payload filters using Qdrant's filterable HNSW index to keep recall high without sacrificing query speed." -description: Learn how Qdrant combines HNSW vector search with payload filtering. Understand Filterable HNSW, query planning, and payload indexing for accurate, high-performance retrieval. +description: "Learn how Qdrant combines HNSW vector search with payload filtering. Understand Filterable HNSW, query planning, and payload indexing for accurate, high-performance retrieval." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-2/pitstop-project.md b/qdrant-landing/content/course/essentials/day-2/pitstop-project.md index 65e4c48fb..5f4e40bc1 100644 --- a/qdrant-landing/content/course/essentials/day-2/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-2/pitstop-project.md @@ -1,7 +1,7 @@ --- title: "Project: HNSW Performance Benchmarking" short_description: "Benchmark HNSW configurations and payload indexes on your own dataset to find the parameter mix that fits your workload." -description: Optimize vector search with Qdrant. Test multiple HNSW configurations, time uploads and queries, and evaluate filtering with and without payload indexes to find the best settings for your domain. +description: "Optimize vector search with Qdrant. Test multiple HNSW configurations, time uploads and queries, and evaluate filtering with and without payload indexes to find the best settings for your domain." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-2/what-is-hnsw.md b/qdrant-landing/content/course/essentials/day-2/what-is-hnsw.md index b77538a6f..17a1491e6 100644 --- a/qdrant-landing/content/course/essentials/day-2/what-is-hnsw.md +++ b/qdrant-landing/content/course/essentials/day-2/what-is-hnsw.md @@ -1,7 +1,7 @@ --- title: "HNSW Indexing Fundamentals" short_description: "Learn how HNSW powers approximate nearest neighbor search in Qdrant and how its layered graph structure scales to billions of vectors." -description: Learn how HNSW indexing powers fast, scalable vector search in Qdrant. Understand parameters like m, ef_construct, and hnsw_ef to balance recall, speed, and memory efficiency. +description: "Learn how HNSW indexing powers fast, scalable vector search in Qdrant. Understand parameters like m, ef_construct, and hnsw_ef to balance recall, speed, and memory efficiency." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-3/_index.md b/qdrant-landing/content/course/essentials/day-3/_index.md index f46bfc037..7d9e3e667 100644 --- a/qdrant-landing/content/course/essentials/day-3/_index.md +++ b/qdrant-landing/content/course/essentials/day-3/_index.md @@ -1,7 +1,7 @@ --- title: "Day 3: Hybrid Search" short_description: "Day 3 of Qdrant Essentials: sparse vectors, inverted indexes, BM25, hybrid search, and score fusion with the Universal Query API." -description: Learn how to combine dense and sparse vector search in Qdrant. Master hybrid search, score fusion, and keyword indexing to boost retrieval precision and recall. +description: "Learn how to combine dense and sparse vector search in Qdrant. Master hybrid search, score fusion, and keyword indexing to boost retrieval precision and recall." isLesson: true weight: 40 --- diff --git a/qdrant-landing/content/course/essentials/day-3/hybrid-search-demo.md b/qdrant-landing/content/course/essentials/day-3/hybrid-search-demo.md index 35d01957a..1d15371e2 100644 --- a/qdrant-landing/content/course/essentials/day-3/hybrid-search-demo.md +++ b/qdrant-landing/content/course/essentials/day-3/hybrid-search-demo.md @@ -1,7 +1,7 @@ --- title: "Demo: Implementing a Hybrid Search System" short_description: "Implement hybrid search end to end: dense plus sparse named vectors, RRF fusion, and side-by-side comparisons of retrieval strategies." -description: Step-by-step demo on implementing hybrid search using Qdrant’s Universal Query API. Explore dense vs. sparse search, score fusion algorithms, and real-world evaluation techniques. +description: "Step-by-step demo on implementing hybrid search using Qdrant’s Universal Query API. Explore dense vs. sparse search, score fusion algorithms, and real-world evaluation techniques." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-3/hybrid-search.md b/qdrant-landing/content/course/essentials/day-3/hybrid-search.md index fe4d7b73a..cd57dd526 100644 --- a/qdrant-landing/content/course/essentials/day-3/hybrid-search.md +++ b/qdrant-landing/content/course/essentials/day-3/hybrid-search.md @@ -1,7 +1,7 @@ --- title: "Hybrid Search and the Universal Query API" short_description: "Combine dense and sparse vectors with Qdrant's Universal Query API and Reciprocal Rank Fusion to serve both semantic and keyword queries." -description: Master hybrid search in Qdrant using dense and sparse vectors. Explore retrieval, reranking, and Reciprocal Rank Fusion (RRF) to build efficient, adaptive search experiences. +description: "Master hybrid search in Qdrant using dense and sparse vectors. Explore retrieval, reranking, and Reciprocal Rank Fusion (RRF) to build efficient, adaptive search experiences." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-3/pitstop-project.md b/qdrant-landing/content/course/essentials/day-3/pitstop-project.md index 0a96892a8..8bfd3ccbc 100644 --- a/qdrant-landing/content/course/essentials/day-3/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-3/pitstop-project.md @@ -1,7 +1,7 @@ --- title: "Project: Building a Hybrid Search Engine" short_description: "Build a hybrid search engine with dense and sparse vectors, fuse results with RRF, and benchmark against single-vector baselines." -description: Build a hybrid search engine in Qdrant combining dense and sparse vectors with Reciprocal Rank Fusion. Compare performance, optimize retrieval, and understand when hybrid search outperforms single-vector methods. +description: "Build a hybrid search engine in Qdrant combining dense and sparse vectors with Reciprocal Rank Fusion. Compare performance, optimize retrieval, and understand when hybrid search outperforms single-vector methods." weight: 6 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-3/sparse-retrieval-demo.md b/qdrant-landing/content/course/essentials/day-3/sparse-retrieval-demo.md index 755adb760..a7de8245f 100644 --- a/qdrant-landing/content/course/essentials/day-3/sparse-retrieval-demo.md +++ b/qdrant-landing/content/course/essentials/day-3/sparse-retrieval-demo.md @@ -1,7 +1,7 @@ --- title: "Demo: Keyword Search with Sparse Vectors" short_description: "Run keyword retrieval with sparse vectors in Qdrant using BM25 and SPLADE-style neural sparse models for precise lexical matching." -description: Hands-on sparse retrieval in Qdrant—create BM25 collections, enable IDF, index with FastEmbed, try SPLADE++ expansion, and execute keyword queries via the Universal Query API. +description: "Hands-on sparse retrieval in Qdrant—create BM25 collections, enable IDF, index with FastEmbed, try SPLADE++ expansion, and execute keyword queries via the Universal Query API." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-3/sparse-vectors.md b/qdrant-landing/content/course/essentials/day-3/sparse-vectors.md index 80b44b8a8..e6ed20d42 100644 --- a/qdrant-landing/content/course/essentials/day-3/sparse-vectors.md +++ b/qdrant-landing/content/course/essentials/day-3/sparse-vectors.md @@ -1,7 +1,7 @@ --- title: "Sparse Vectors and Inverted Indexes" short_description: "Use sparse vectors and inverted indexes for keyword search and recommendations, with index-value pairs and dot-product scoring." -description: Learn sparse vectors and inverted indexes in Qdrant, create named sparse vectors, store index–value pairs, run exact dot-product search, and prepare for hybrid search with dense vectors. +description: "Learn sparse vectors and inverted indexes in Qdrant, create named sparse vectors, store index–value pairs, run exact dot-product search, and prepare for hybrid search with dense vectors." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-4/_index.md b/qdrant-landing/content/course/essentials/day-4/_index.md index fd3683a33..95441cdf2 100644 --- a/qdrant-landing/content/course/essentials/day-4/_index.md +++ b/qdrant-landing/content/course/essentials/day-4/_index.md @@ -1,7 +1,7 @@ --- title: "Day 4: Optimization and Scale" short_description: "Day 4 of Qdrant Essentials: scalar, binary, and product quantization, oversampling and rescoring, plus high-throughput ingestion patterns." -description: Learn Qdrant performance optimization with vector quantization, accuracy recovery with rescoring, and high-throughput data ingestion. Compare memory usage, recall, and speed to tune large-scale vector search. +description: "Learn Qdrant performance optimization with vector quantization, accuracy recovery with rescoring, and high-throughput data ingestion. Compare memory usage, recall, and speed to tune large-scale vector search." isLesson: true weight: 50 --- diff --git a/qdrant-landing/content/course/essentials/day-4/large-scale-ingestion.md b/qdrant-landing/content/course/essentials/day-4/large-scale-ingestion.md index 39678e755..693393a52 100644 --- a/qdrant-landing/content/course/essentials/day-4/large-scale-ingestion.md +++ b/qdrant-landing/content/course/essentials/day-4/large-scale-ingestion.md @@ -1,7 +1,7 @@ --- title: "Large-Scale Data Ingestion" short_description: "Choose the right ingestion strategy for Qdrant: batched upserts, upload_points, and streaming uploads for million- and billion-scale workloads." -description: Master large-scale vector ingestion in Qdrant. Explore batching, upload_points, and upload_collection methods, on-disk storage, and parallel streaming for billion-scale AI data pipelines. +description: "Master large-scale vector ingestion in Qdrant. Explore batching, upload_points, and upload_collection methods, on-disk storage, and parallel streaming for billion-scale AI data pipelines." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-4/pitstop-project.md b/qdrant-landing/content/course/essentials/day-4/pitstop-project.md index 119834ccd..f64b8961d 100644 --- a/qdrant-landing/content/course/essentials/day-4/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-4/pitstop-project.md @@ -1,7 +1,7 @@ --- title: "Project: Quantization Performance Optimization" short_description: "Apply scalar and binary quantization to your search engine and tune oversampling plus rescoring for better recall and lower memory." -description: Apply vector quantization in Qdrant to boost search speed, reduce memory, and balance accuracy. Test scalar, binary, and 2-bit quantization with oversampling and rescoring optimization. +description: "Apply vector quantization in Qdrant to boost search speed, reduce memory, and balance accuracy. Test scalar, binary, and 2-bit quantization with oversampling and rescoring optimization." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-4/rescoring-oversampling-indexing.md b/qdrant-landing/content/course/essentials/day-4/rescoring-oversampling-indexing.md index f5519d925..4ff64fa4f 100644 --- a/qdrant-landing/content/course/essentials/day-4/rescoring-oversampling-indexing.md +++ b/qdrant-landing/content/course/essentials/day-4/rescoring-oversampling-indexing.md @@ -1,7 +1,7 @@ --- title: "Accuracy Recovery with Rescoring" short_description: "Recover accuracy after quantization with oversampling and rescoring, using original vectors to rerank candidates from the quantized index." -description: Learn how oversampling and rescoring restore accuracy in quantized vector search. Improve Qdrant search precision while maintaining high performance using efficient reranking on original vectors. +description: "Learn how oversampling and rescoring restore accuracy in quantized vector search. Improve Qdrant search precision while maintaining high performance using efficient reranking on original vectors." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-4/what-is-quantization.md b/qdrant-landing/content/course/essentials/day-4/what-is-quantization.md index 0d9014e74..c438e1e48 100644 --- a/qdrant-landing/content/course/essentials/day-4/what-is-quantization.md +++ b/qdrant-landing/content/course/essentials/day-4/what-is-quantization.md @@ -1,7 +1,7 @@ --- title: "Vector Quantization Methods" short_description: "Compare scalar, binary, and product quantization to compress vectors, cut memory cost, and keep retrieval quality high in production." -description: Explore scalar, binary, and product quantization in Qdrant. Learn how compression boosts vector search speed, cuts memory costs, and balances accuracy for large-scale AI retrieval. +description: "Explore scalar, binary, and product quantization in Qdrant. Learn how compression boosts vector search speed, cuts memory costs, and balances accuracy for large-scale AI retrieval." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-5/_index.md b/qdrant-landing/content/course/essentials/day-5/_index.md index 1b485c68a..439b57d91 100644 --- a/qdrant-landing/content/course/essentials/day-5/_index.md +++ b/qdrant-landing/content/course/essentials/day-5/_index.md @@ -1,7 +1,7 @@ --- title: "Day 5: Advanced APIs" short_description: "Day 5 of Qdrant Essentials: multivectors, ColBERT late interaction, and the Universal Query API for advanced retrieval pipelines." -description: Learn advanced Qdrant APIs, including multivectors and the Universal Query API, to power hybrid retrieval, late interaction models, and recommendation systems with high accuracy and flexibility. +description: "Learn advanced Qdrant APIs, including multivectors and the Universal Query API, to power hybrid retrieval, late interaction models, and recommendation systems with high accuracy and flexibility." isLesson: true weight: 60 --- diff --git a/qdrant-landing/content/course/essentials/day-5/colbert-multivectors.md b/qdrant-landing/content/course/essentials/day-5/colbert-multivectors.md index 74c4cc037..0dae02491 100644 --- a/qdrant-landing/content/course/essentials/day-5/colbert-multivectors.md +++ b/qdrant-landing/content/course/essentials/day-5/colbert-multivectors.md @@ -1,7 +1,7 @@ --- title: "Multivectors for Late Interaction Models" short_description: "Use ColBERT multivectors and MaxSim scoring in Qdrant for token-level late-interaction retrieval that captures fine-grained relevance." -description: Learn how Qdrant supports late interaction models like ColBERT and ColPali using multivectors for token-level precision, enabling fine-grained, context-aware text and visual document retrieval. +description: "Learn how Qdrant supports late interaction models like ColBERT and ColPali using multivectors for token-level precision, enabling fine-grained, context-aware text and visual document retrieval." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-5/pitstop-project.md b/qdrant-landing/content/course/essentials/day-5/pitstop-project.md index 3640184ea..ed06484ac 100644 --- a/qdrant-landing/content/course/essentials/day-5/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-5/pitstop-project.md @@ -1,7 +1,7 @@ --- title: "Project: Building a Recommendation System" short_description: "Build a recommendation system that fuses dense, sparse, and ColBERT multivectors in a single Universal Query with reranking and filters." -description: Build a hybrid AI recommendation system with Qdrant’s Universal Query API—combining dense, sparse, and multivector retrieval, ColBERT reranking, and RRF fusion in one atomic query. +description: "Build a hybrid AI recommendation system with Qdrant’s Universal Query API—combining dense, sparse, and multivector retrieval, ColBERT reranking, and RRF fusion in one atomic query." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-5/universal-query-api.md b/qdrant-landing/content/course/essentials/day-5/universal-query-api.md index 9840334cb..df1046f04 100644 --- a/qdrant-landing/content/course/essentials/day-5/universal-query-api.md +++ b/qdrant-landing/content/course/essentials/day-5/universal-query-api.md @@ -1,7 +1,7 @@ --- title: "The Universal Query API" short_description: "Compose dense retrieval, sparse retrieval, fusion, and ColBERT reranking in one declarative request with Qdrant's Universal Query API." -description: Learn how to run dense, sparse, and ColBERT multivector retrieval with Qdrant’s Universal Query API—fusing, filtering, and reranking results in a single atomic request. +description: "Learn how to run dense, sparse, and ColBERT multivector retrieval with Qdrant’s Universal Query API—fusing, filtering, and reranking results in a single atomic request." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-5/universal-query-demo.md b/qdrant-landing/content/course/essentials/day-5/universal-query-demo.md index ecd373001..3c410b2d0 100644 --- a/qdrant-landing/content/course/essentials/day-5/universal-query-demo.md +++ b/qdrant-landing/content/course/essentials/day-5/universal-query-demo.md @@ -1,7 +1,7 @@ --- title: "Demo: Universal Query for Hybrid Retrieval" short_description: "Build a research paper discovery pipeline that blends dense semantics, sparse keywords, ColBERT reranking, and metadata filters in one query." -description: Build a hybrid research discovery system using Qdrant’s Universal Query API—combine dense, sparse, and ColBERT vectors for semantic, keyword, and reranked retrieval in one query. +description: "Build a hybrid research discovery system using Qdrant’s Universal Query API—combine dense, sparse, and ColBERT vectors for semantic, keyword, and reranked retrieval in one query." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-6/_index.md b/qdrant-landing/content/course/essentials/day-6/_index.md index 478974b38..a7cbebb03 100644 --- a/qdrant-landing/content/course/essentials/day-6/_index.md +++ b/qdrant-landing/content/course/essentials/day-6/_index.md @@ -1,7 +1,7 @@ --- title: "Day 6: Final Project - Building a Production-Grade Search Engine" short_description: "Day 6 of Qdrant Essentials: ship a portfolio-ready documentation search engine with hybrid retrieval, reranking, and rigorous evaluation." -description: Build a production-grade documentation search engine with Qdrant—combining hybrid retrieval, multivector reranking, and evaluation to showcase real-world, portfolio-ready vector search expertise. +description: "Build a production-grade documentation search engine with Qdrant—combining hybrid retrieval, multivector reranking, and evaluation to showcase real-world, portfolio-ready vector search expertise." isLesson: true weight: 70 --- diff --git a/qdrant-landing/content/course/essentials/day-6/congratulations.md b/qdrant-landing/content/course/essentials/day-6/congratulations.md index 5bf2c4804..f64e5c27c 100644 --- a/qdrant-landing/content/course/essentials/day-6/congratulations.md +++ b/qdrant-landing/content/course/essentials/day-6/congratulations.md @@ -1,7 +1,7 @@ --- title: "Course Completion and Next Steps" short_description: "Wrap up Qdrant Essentials and review the production skills you gained: hybrid retrieval, quantization, scaling, and search evaluation." -description: Complete your Qdrant course by earning certification and mastering hybrid, multivector, and production-ready vector search techniques—skills to design, evaluate, and deploy real-world AI search systems. +description: "Complete your Qdrant course by earning certification and mastering hybrid, multivector, and production-ready vector search techniques—skills to design, evaluate, and deploy real-world AI search systems." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-6/final-project.md b/qdrant-landing/content/course/essentials/day-6/final-project.md index e440a4af9..dd7d00d7f 100644 --- a/qdrant-landing/content/course/essentials/day-6/final-project.md +++ b/qdrant-landing/content/course/essentials/day-6/final-project.md @@ -1,7 +1,7 @@ --- title: "Final Project: Production-Ready Documentation Search Engine" short_description: "Final project: build a documentation search engine with hybrid retrieval, multivector reranking, and Recall@10, MRR, and latency metrics." -description: Create a complete documentation search system with Qdrant, featuring hybrid retrieval, multivector reranking, and performance evaluation for a portfolio-ready, production-quality vector search application. +description: "Create a complete documentation search system with Qdrant, featuring hybrid retrieval, multivector reranking, and performance evaluation for a portfolio-ready, production-quality vector search application." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/_index.md b/qdrant-landing/content/course/essentials/day-7/_index.md index 5504310a0..bb7f2afa4 100644 --- a/qdrant-landing/content/course/essentials/day-7/_index.md +++ b/qdrant-landing/content/course/essentials/day-7/_index.md @@ -1,7 +1,7 @@ --- title: "Day 7: Partner Ecosystem Integrations (Bonus)" short_description: "Bonus day on the Qdrant ecosystem: integrations with LlamaIndex, Haystack, Jina, Unstructured, and other AI and data platforms." -description: Learn how to extend Qdrant with integrations across top AI platforms like Haystack, LlamaIndex, and Unstructured.io for scalable, intelligent, and agentic search pipelines. +description: "Learn how to extend Qdrant with integrations across top AI platforms like Haystack, LlamaIndex, and Unstructured.io for scalable, intelligent, and agentic search pipelines." isLesson: true weight: 80 --- diff --git a/qdrant-landing/content/course/essentials/day-7/camel.md b/qdrant-landing/content/course/essentials/day-7/camel.md index e899804eb..bbe6eb9a4 100644 --- a/qdrant-landing/content/course/essentials/day-7/camel.md +++ b/qdrant-landing/content/course/essentials/day-7/camel.md @@ -1,7 +1,7 @@ --- title: "Integrating with Camel AI" short_description: "Build agentic RAG with Camel AI's multi-agent framework and Qdrant for automated context retrieval and collaborative agent workflows." -description: Learn how Camel AI and Qdrant enable automated RAG pipelines with multi-agent communication, vector-based memory, and seamless integration into live environments like Discord bots. +description: "Learn how Camel AI and Qdrant enable automated RAG pipelines with multi-agent communication, vector-based memory, and seamless integration into live environments like Discord bots." weight: 8 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/haystack.md b/qdrant-landing/content/course/essentials/day-7/haystack.md index a648f582d..676ba208d 100644 --- a/qdrant-landing/content/course/essentials/day-7/haystack.md +++ b/qdrant-landing/content/course/essentials/day-7/haystack.md @@ -1,7 +1,7 @@ --- title: "Integrating with Haystack" short_description: "Build agentic RAG pipelines with Haystack and Qdrant: sparse vector search, metadata filtering, and LLM-driven query routing." -description: Learn how Qdrant and Haystack combine to deliver end-to-end search and recommendation systems with hybrid retrieval, semantic filtering, and agentic AI orchestration. +description: "Learn how Qdrant and Haystack combine to deliver end-to-end search and recommendation systems with hybrid retrieval, semantic filtering, and agentic AI orchestration." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/jina.md b/qdrant-landing/content/course/essentials/day-7/jina.md index dc789afc4..163e122b8 100644 --- a/qdrant-landing/content/course/essentials/day-7/jina.md +++ b/qdrant-landing/content/course/essentials/day-7/jina.md @@ -1,7 +1,7 @@ --- title: "Integrating with Jina AI" short_description: "Power multimodal text and image retrieval by pairing Jina embedding models with Qdrant for cross-modal search across mixed content." -description: Learn how Jina AI’s Embeddings v4 and Qdrant enable advanced multimodal retrieval, supporting text-to-image, image-to-text, and hybrid search with high-performance vector storage. +description: "Learn how Jina AI’s Embeddings v4 and Qdrant enable advanced multimodal retrieval, supporting text-to-image, image-to-text, and hybrid search with high-performance vector storage." weight: 9 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/llamaindex.md b/qdrant-landing/content/course/essentials/day-7/llamaindex.md index 1ace33692..53acc2a31 100644 --- a/qdrant-landing/content/course/essentials/day-7/llamaindex.md +++ b/qdrant-landing/content/course/essentials/day-7/llamaindex.md @@ -1,7 +1,7 @@ --- title: "Integrating with LlamaIndex" short_description: "Build LLM applications and agentic workflows with LlamaIndex and Qdrant: data loaders, RAG pipelines, function agents, and custom workflows." -description: Learn how LlamaIndex and Qdrant power intelligent RAG pipelines, function-calling agents, and cloud-synced vector search systems with structured workflows and dynamic query handling. +description: "Learn how LlamaIndex and Qdrant power intelligent RAG pipelines, function-calling agents, and cloud-synced vector search systems with structured workflows and dynamic query handling." weight: 6 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/quotient.md b/qdrant-landing/content/course/essentials/day-7/quotient.md index 823ba6be9..ef722bdd7 100644 --- a/qdrant-landing/content/course/essentials/day-7/quotient.md +++ b/qdrant-landing/content/course/essentials/day-7/quotient.md @@ -1,7 +1,7 @@ --- title: "Integrating with Quotient" short_description: "Monitor RAG quality with Quotient AI and Qdrant: detect hallucinations, score document relevance, and debug retrieval-augmented agents." -description: Learn how Quotient and Qdrant combine to deliver end-to-end AI monitoring, hallucination detection, and performance analytics for reliable, high-quality retrieval-augmented generation systems. +description: "Learn how Quotient and Qdrant combine to deliver end-to-end AI monitoring, hallucination detection, and performance analytics for reliable, high-quality retrieval-augmented generation systems." weight: 7 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/superlinked.md b/qdrant-landing/content/course/essentials/day-7/superlinked.md index 345594a40..77ac80f5f 100644 --- a/qdrant-landing/content/course/essentials/day-7/superlinked.md +++ b/qdrant-landing/content/course/essentials/day-7/superlinked.md @@ -1,7 +1,7 @@ --- title: "Integrating with Superlinked" short_description: "Engineer richer vector representations with Superlinked's mixture-of-encoders approach over text, numeric, categorical, and temporal data in Qdrant." -description: Learn how Superlinked’s Mixture of Encoders and Qdrant enable rich, multi-modal embeddings that fuse semantic, numerical, and temporal data for optimized vector retrieval. +description: "Learn how Superlinked’s Mixture of Encoders and Qdrant enable rich, multi-modal embeddings that fuse semantic, numerical, and temporal data for optimized vector retrieval." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/tensorlake.md b/qdrant-landing/content/course/essentials/day-7/tensorlake.md index c2fe9707b..e4a7f7b0d 100644 --- a/qdrant-landing/content/course/essentials/day-7/tensorlake.md +++ b/qdrant-landing/content/course/essentials/day-7/tensorlake.md @@ -1,7 +1,7 @@ --- title: "Integrating with Tensorlake" short_description: "Use Tensorlake to parse documents into knowledge graphs and feed structured embeddings into Qdrant for richer semantic retrieval." -description: Learn how TensorLake and Qdrant combine document parsing, knowledge graphs, and vector search to build scalable, structured data lakes for advanced RAG and research discovery applications. +description: "Learn how TensorLake and Qdrant combine document parsing, knowledge graphs, and vector search to build scalable, structured data lakes for advanced RAG and research discovery applications." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/day-7/unstructured.md b/qdrant-landing/content/course/essentials/day-7/unstructured.md index 332e1425d..a0bedca16 100644 --- a/qdrant-landing/content/course/essentials/day-7/unstructured.md +++ b/qdrant-landing/content/course/essentials/day-7/unstructured.md @@ -1,7 +1,7 @@ --- title: "Integrating with Unstructured.io" short_description: "Process PDFs, Word docs, and emails with Unstructured.io and load chunked, vectorized content into Qdrant for enterprise RAG pipelines." -description: Learn how Unstructured.io and Qdrant transform unstructured enterprise data into structured embeddings through VLM document understanding, smart chunking, and secure, production-ready ETL pipelines. +description: "Learn how Unstructured.io and Qdrant transform unstructured enterprise data into structured embeddings through VLM document understanding, smart chunking, and secure, production-ready ETL pipelines." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/essentials/faq/_index.md b/qdrant-landing/content/course/essentials/faq/_index.md index 998af3bb8..02f68469c 100644 --- a/qdrant-landing/content/course/essentials/faq/_index.md +++ b/qdrant-landing/content/course/essentials/faq/_index.md @@ -1,7 +1,7 @@ --- title: "Qdrant Essentials FAQs" short_description: "Frequently asked questions about the Qdrant Essentials course: who it's for, time commitment, tooling, certification, and support." -description: Learn everything about the Qdrant Essentials course — who it’s for, tools required, certification details, setup options, and how to get help while building your vector search expertise. +description: "Learn everything about the Qdrant Essentials course — who it’s for, tools required, certification details, setup options, and how to get help while building your vector search expertise." weight: 200 --- diff --git a/qdrant-landing/content/course/multi-vector-search/_index.md b/qdrant-landing/content/course/multi-vector-search/_index.md index 0404d7c5e..944ddf8b0 100644 --- a/qdrant-landing/content/course/multi-vector-search/_index.md +++ b/qdrant-landing/content/course/multi-vector-search/_index.md @@ -2,7 +2,7 @@ title: "Multi-Vector Search Course" page_title: "Qdrant Multi-Vector Search Course" short_description: "Master multi-vector search with ColBERT and ColPali: late interaction, MaxSim scoring, multi-stage retrieval, MUVERA indexing, and evaluation." -description: Master late interaction models, ColPali, and production optimization. Build scalable multi-vector search pipelines. +description: "Master late interaction models, ColPali, and production optimization. Build scalable multi-vector search pipelines." content: sidebarTitle: "Multi-Vector Search Course" menuTitle: diff --git a/qdrant-landing/content/course/multi-vector-search/module-0/installing-dependencies.md b/qdrant-landing/content/course/multi-vector-search/module-0/installing-dependencies.md index 2f6619b98..6d5d0dfc2 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-0/installing-dependencies.md +++ b/qdrant-landing/content/course/multi-vector-search/module-0/installing-dependencies.md @@ -1,7 +1,7 @@ --- title: "Installing Dependencies" short_description: "Set up a Python environment for multi-vector search with the Qdrant client and FastEmbed for late-interaction embeddings." -description: Install Python dependencies including FastEmbed and Qdrant client. +description: "Install Python dependencies including FastEmbed and Qdrant client." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-0/qdrant-setup.md b/qdrant-landing/content/course/multi-vector-search/module-0/qdrant-setup.md index a568140f3..57d2c0970 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-0/qdrant-setup.md +++ b/qdrant-landing/content/course/multi-vector-search/module-0/qdrant-setup.md @@ -1,7 +1,7 @@ --- title: "Qdrant Setup" short_description: "Stand up Qdrant Cloud or a local Qdrant instance and configure credentials before running multi-vector search experiments." -description: Set up Qdrant for multi-vector search. Learn how to create a collection and configure it for multi-vector embeddings. +description: "Set up Qdrant for multi-vector search. Learn how to create a collection and configure it for multi-vector embeddings." weight: 1 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-1/late-interaction-basics.md b/qdrant-landing/content/course/multi-vector-search/module-1/late-interaction-basics.md index e5c77c501..1a83b604b 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-1/late-interaction-basics.md +++ b/qdrant-landing/content/course/multi-vector-search/module-1/late-interaction-basics.md @@ -1,7 +1,7 @@ --- title: "Late Interaction Basics" short_description: "Compare no-interaction, early-interaction, and late-interaction retrieval to see why ColBERT-style multivectors outperform single-vector search." -description: Understand the late interaction paradigm and how it differs from traditional dense embeddings for text search. +description: "Understand the late interaction paradigm and how it differs from traditional dense embeddings for text search." weight: 1 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-1/maxsim-distance.md b/qdrant-landing/content/course/multi-vector-search/module-1/maxsim-distance.md index 68b44fd37..295e335c9 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-1/maxsim-distance.md +++ b/qdrant-landing/content/course/multi-vector-search/module-1/maxsim-distance.md @@ -1,7 +1,7 @@ --- title: "MaxSim Distance Metric" short_description: "Understand the MaxSim distance metric for late interaction: how token-level matches aggregate into a single score for multi-vector retrieval." -description: Learn about the MaxSim distance metric used in multi-vector search and how it computes similarity between multi-vector representations. +description: "Learn about the MaxSim distance metric used in multi-vector search and how it computes similarity between multi-vector representations." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-1/multi-vector-in-qdrant.md b/qdrant-landing/content/course/multi-vector-search/module-1/multi-vector-in-qdrant.md index fa6c55b8f..c0f6d208d 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-1/multi-vector-in-qdrant.md +++ b/qdrant-landing/content/course/multi-vector-search/module-1/multi-vector-in-qdrant.md @@ -1,7 +1,7 @@ --- title: "Multi-Vector Embeddings in Qdrant" short_description: "Configure Qdrant collections for multi-vector search: enable MaxSim, index ColBERT-style embeddings, and run late-interaction queries." -description: Configure Qdrant collections for multi-vector embeddings and learn how to index and query multi-vector data. +description: "Configure Qdrant collections for multi-vector embeddings and learn how to index and query multi-vector data." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-1/problems-multi-vector.md b/qdrant-landing/content/course/multi-vector-search/module-1/problems-multi-vector.md index 1a43227ae..526e1fffc 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-1/problems-multi-vector.md +++ b/qdrant-landing/content/course/multi-vector-search/module-1/problems-multi-vector.md @@ -1,7 +1,7 @@ --- title: "Problems of Multi-Vector Search" short_description: "Understand the trade-offs of multi-vector search: HNSW incompatibility, asymmetric MaxSim, and the storage and compute overhead per document." -description: Understand the challenges and limitations of multi-vector search at scale, including memory and performance considerations. +description: "Understand the challenges and limitations of multi-vector search at scale, including memory and performance considerations." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-1/use-cases-multi-vector.md b/qdrant-landing/content/course/multi-vector-search/module-1/use-cases-multi-vector.md index 34437fdeb..7264f3ed5 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-1/use-cases-multi-vector.md +++ b/qdrant-landing/content/course/multi-vector-search/module-1/use-cases-multi-vector.md @@ -1,7 +1,7 @@ --- title: "Use Cases for Multi-Vector Search" short_description: "See when multi-vector search outperforms single-vector embeddings: token-level matching for precise, fine-grained retrieval on complex queries." -description: Discover scenarios where multi-vector search outperforms single-vector embeddings and provides better retrieval quality. +description: "Discover scenarios where multi-vector search outperforms single-vector embeddings and provides better retrieval quality." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-2/colpali-family.md b/qdrant-landing/content/course/multi-vector-search/module-2/colpali-family.md index b2ac28237..8e8be6114 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-2/colpali-family.md +++ b/qdrant-landing/content/course/multi-vector-search/module-2/colpali-family.md @@ -1,7 +1,7 @@ --- title: "ColPali Family Overview" short_description: "Compare ColPali variants for visual document retrieval, from compact ColSmol and ColFlor to multilingual models, and pick the right fit." -description: Explore the ColPali model family and their capabilities for multi-modal document understanding and retrieval. +description: "Explore the ColPali model family and their capabilities for multi-modal document understanding and retrieval." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-2/how-colpali-works.md b/qdrant-landing/content/course/multi-vector-search/module-2/how-colpali-works.md index 8e6ec188d..186138292 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-2/how-colpali-works.md +++ b/qdrant-landing/content/course/multi-vector-search/module-2/how-colpali-works.md @@ -1,7 +1,7 @@ --- title: "How ColPali Models Work" short_description: "Learn how ColPali turns document images into multi-vector representations, retrieving from PDFs, charts, and tables without an OCR step." -description: Understand the inner workings of ColPali models and how they generate multi-vector representations for images and documents. +description: "Understand the inner workings of ColPali models and how they generate multi-vector representations for images and documents." weight: 1 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-2/visual-interpretability.md b/qdrant-landing/content/course/multi-vector-search/module-2/visual-interpretability.md index a11e16181..97e70ebd5 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-2/visual-interpretability.md +++ b/qdrant-landing/content/course/multi-vector-search/module-2/visual-interpretability.md @@ -1,7 +1,7 @@ --- title: "Visual Interpretability of ColPali" short_description: "Visualize ColPali matches by mapping query tokens to image patches, making multi-modal retrieval results inspectable and debuggable." -description: Learn how to visualize and interpret ColPali embeddings to understand what the model focuses on in images. +description: "Learn how to visualize and interpret ColPali embeddings to understand what the model focuses on in images." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-3/evaluating-pipelines.md b/qdrant-landing/content/course/multi-vector-search/module-3/evaluating-pipelines.md index 809899700..2643957b1 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-3/evaluating-pipelines.md +++ b/qdrant-landing/content/course/multi-vector-search/module-3/evaluating-pipelines.md @@ -1,7 +1,7 @@ --- title: "Evaluating Search Pipelines" short_description: "Evaluate retrieval pipelines with Recall@k, NDCG, and MRR using qrels to balance cost, latency, and search quality across configurations." -description: Learn how to evaluate different search configurations in terms of cost, latency, and retrieval quality using ground truth datasets and standardized metrics. +description: "Learn how to evaluate different search configurations in terms of cost, latency, and retrieval quality using ground truth datasets and standardized metrics." weight: 5 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-3/final-project.md b/qdrant-landing/content/course/multi-vector-search/module-3/final-project.md index 3e883117a..8a1937579 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-3/final-project.md +++ b/qdrant-landing/content/course/multi-vector-search/module-3/final-project.md @@ -1,7 +1,7 @@ --- title: "Final Project: Build Your Own Multi-Vector Search System" short_description: "Capstone project: build an end-to-end multi-vector search system with ColPali, optimization techniques, and a measurable quality benchmark." -description: Apply everything you've learned to build a multi-vector search system that solves a real problem of your choosing. +description: "Apply everything you've learned to build a multi-vector search system that solves a real problem of your choosing." weight: 7 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-3/multi-stage-retrieval.md b/qdrant-landing/content/course/multi-vector-search/module-3/multi-stage-retrieval.md index 03876a5a9..093237890 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-3/multi-stage-retrieval.md +++ b/qdrant-landing/content/course/multi-vector-search/module-3/multi-stage-retrieval.md @@ -1,7 +1,7 @@ --- title: "Multi-Stage Retrieval with Universal Query API" short_description: "Build multi-stage retrieval with the Universal Query API: prefetch with fast vectors, then rerank with ColBERT for high-quality results." -description: Combine multiple optimization techniques in multi-stage retrieval pipelines using Qdrant's Universal Query API. +description: "Combine multiple optimization techniques in multi-stage retrieval pipelines using Qdrant's Universal Query API." weight: 1 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-3/muvera.md b/qdrant-landing/content/course/multi-vector-search/module-3/muvera.md index 1d7ba9b91..bdf032df5 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-3/muvera.md +++ b/qdrant-landing/content/course/multi-vector-search/module-3/muvera.md @@ -1,7 +1,7 @@ --- title: "MUVERA" short_description: "Use MUVERA to approximate multi-vector documents as single vectors so HNSW can index them, enabling fast late-interaction retrieval at scale." -description: Understand MUVERA and how it enables HNSW indexing for multi-vector search despite MaxSim asymmetry. +description: "Understand MUVERA and how it enables HNSW indexing for multi-vector search despite MaxSim asymmetry." weight: 4 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-3/pooling-techniques.md b/qdrant-landing/content/course/multi-vector-search/module-3/pooling-techniques.md index ba072a539..4c0e630c6 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-3/pooling-techniques.md +++ b/qdrant-landing/content/course/multi-vector-search/module-3/pooling-techniques.md @@ -1,7 +1,7 @@ --- title: "Pooling Techniques" short_description: "Apply pooling to multi-vector documents to cut the number of vectors per document while preserving late-interaction retrieval quality." -description: Reduce the number of vectors per document using row/column pooling and hierarchical token pooling strategies. +description: "Reduce the number of vectors per document using row/column pooling and hierarchical token pooling strategies." weight: 3 isLesson: true --- diff --git a/qdrant-landing/content/course/multi-vector-search/module-3/quantization-techniques.md b/qdrant-landing/content/course/multi-vector-search/module-3/quantization-techniques.md index afc61dc7e..cdffd0ee3 100644 --- a/qdrant-landing/content/course/multi-vector-search/module-3/quantization-techniques.md +++ b/qdrant-landing/content/course/multi-vector-search/module-3/quantization-techniques.md @@ -1,7 +1,7 @@ --- title: "Vector Quantization Techniques" short_description: "Compress multi-vector embeddings with scalar, binary, and product quantization in Qdrant to slash memory cost without losing retrieval quality." -description: Learn how to reduce memory usage with scalar quantization, binary quantization, and other compression methods. +description: "Learn how to reduce memory usage with scalar quantization, binary quantization, and other compression methods." weight: 2 isLesson: true --- diff --git a/qdrant-landing/content/documentation/frameworks/cognee.md b/qdrant-landing/content/documentation/frameworks/cognee.md index 24e364958..befba4899 100644 --- a/qdrant-landing/content/documentation/frameworks/cognee.md +++ b/qdrant-landing/content/documentation/frameworks/cognee.md @@ -1,7 +1,7 @@ --- title: "Cognee" short_description: "Pair Qdrant's vector breadth with Cognee's graph precision to give agents semantic memory grounded in entities, relationships, and time." -description: Cognee ships a Qdrant adapter and documents Qdrant as a preferred, built-in vector database option. That means you configure one URI and key, and Cognee's pipelines will read/write embeddings directly to Qdrant while building and querying the graph. +description: "Cognee ships a Qdrant adapter and documents Qdrant as a preferred, built-in vector database option. That means you configure one URI and key, and Cognee's pipelines will read/write embeddings directly to Qdrant while building and querying the graph." --- # Cognee