added quote wrapping to meta description content

2026-10-03 09:58:30 +02:00 · 2026-05-01 09:21:28 -07:00
parent deb8b5533f
commit 4ad8ced35e
171 changed files with 259 additions and 259 deletions
@@ -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
@@ -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
+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.
+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
@@ -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
@@ -1,7 +1,7 @@
 ---
 title: Qdrant Summer of Code 2024 - ONNX Cross Encoders in Python
-short_description: QSoC 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.
+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
@@ -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
@@ -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.
@@ -1,7 +1,7 @@
 ---
 title: Finding errors in datasets with Similarity Search
-short_description: Finding errors datasets with distance-based methods
+short_description: "Finding errors datasets with distance-based methods"
-description: Improving quality of text-and-images datasets on the online furniture marketplace example.
+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
@@ -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
@@ -1,7 +1,7 @@
 ---
 title: Qdrant Summer of Code 2024 - WASM based Dimension Reduction
-short_description: QSOC'24 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.
+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
@@ -1,7 +1,7 @@
 ---
 title: "Discovery needs context"
-short_description: Discover points by constraining the vector space.
+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.
+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 
@@ -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
@@ -1,7 +1,7 @@
 ---
 title: Layer Recycling and Fine-tuning Efficiency
-short_description: Tradeoff between speed and performance in layer recycling
+short_description: "Tradeoff between speed and performance in layer recycling"
-description: Learn when and how to use layer recycling to achieve different performance targets.
+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
@@ -1,7 +1,7 @@
 ---
 title: Q&A with Similarity Learning
-short_description: A complete guide to building a Q&A system 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.
+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
@@ -1,7 +1,7 @@
 ---
 title: Filterable HNSW
-short_description: How to make ANN search with custom filtering?
+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.
+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
@@ -1,7 +1,7 @@
 ---
 title: Food Discovery Demo
-short_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.
+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
@@ -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
+short_description: "Gsoc'23 Polygon Geo Filter for Qdrant Vector Database"
-description: A Summary of my work and experience at Qdrant's Gsoc '23.
+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
@@ -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
@@ -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.
+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.
+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
@@ -1,7 +1,7 @@
 ---
 title: Metric Learning Tips & Tricks
-short_description: How to train an object matching model and serve it in production.
+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.
+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
@@ -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.
+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.
+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
@@ -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.
+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.
+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
@@ -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
@@ -1,7 +1,7 @@
 ---
 title: Qdrant 0.10 released
-short_description: A short review of all the features introduced in Qdrant 0.10
+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!
+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
@@ -1,7 +1,7 @@
 ---
 title: Introducing Qdrant 0.11
-short_description: Check out what's new in 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!
+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
@@ -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
@@ -1,7 +1,7 @@
 ---
 title: Vector Search in constant time
-short_description: Apply Quantum Computing to your search engine
+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.
+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
@@ -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
@@ -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.
+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. 
+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 
@@ -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.
+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.
+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
@@ -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
@@ -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.
+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.
+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
@@ -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
@@ -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!
+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!
+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
@@ -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
+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.
+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
@@ -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.
+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.
+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
@@ -1,8 +1,8 @@
 ---
 title: "What is a Vector Database?"
 draft: false
-short_description:  What is a Vector Database? Use Cases & Examples | Qdrant
+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.
+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
@@ -2,8 +2,8 @@
 title: "What is Vector Quantization?"
 draft: false
 slug: what-is-vector-quantization 
-short_description:  What is Vector Quantization? Methods & Examples 
+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.
+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
@@ -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? 
+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.
+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
@@ -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
@@ -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
@@ -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
@@ -1,8 +1,8 @@
 ---
 draft: false
 title: "Qdrant is Now Available on Azure Marketplace!"
-short_description: Discover the power of Qdrant 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.
+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
@@ -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
@@ -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
@@ -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.
+short_description: "Hamza Farooq discusses the future of LLMs, complex search, and copilots."
-description: Hamza Farooq presents the future of large language models, complex
+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
@@ -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.
@@ -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
@@ -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
+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
+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
@@ -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. 
+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.
+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
@@ -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
@@ -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
@@ -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
@@ -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
+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
+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
@@ -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
+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!
+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
@@ -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
+short_description: "Qdrant keeps your systems secure"
-description: Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected.
+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
@@ -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
+short_description: "Qdrant keeps your systems secure"
-description: Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected.
+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
@@ -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
+short_description: "Podcast on search and LLM with Datatalk.club"
-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
@@ -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
+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
+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
@@ -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.
+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
+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.
@@ -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
@@ -1,8 +1,8 @@
 ---
 draft: false
 title: "Introducing FastLLM: Qdrant’s Revolutionary LLM"
-short_description: The most powerful LLM known to human...or 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.
+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
@@ -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
@@ -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
@@ -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
+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 
+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
@@ -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
@@ -2,8 +2,8 @@
 draft: false
 title: "Qdrant Hybrid Cloud: the First Managed Vector Database You Can Run Anywhere"
 slug: hybrid-cloud
-short_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:
+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
@@ -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
@@ -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.
@@ -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.
@@ -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
+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
+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
@@ -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.
+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.
+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 
@@ -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.
+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.
+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
@@ -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.
+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.
+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
@@ -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.
+short_description: "Qdrant now has an official, team-supported node for n8n."
-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
@@ -2,8 +2,8 @@
 draft: true
 title: Neural Search Tutorial
 slug: neural-search-tutorial
-short_description: Neural Search Tutorial
+short_description: "Neural Search Tutorial"
-description: Step-by-step guide on how to build a neural search service.
+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
@@ -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
+short_description: "Qdrant v0.7.0 engine has been released"
-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
@@ -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
@@ -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
+short_description: "Case study"
-description: Case study
+description: "Case study"
 preview_image: /blog/from_cms/title.webp
 date: 2024-01-05T15:10:57.473Z
 author: Author
@@ -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
@@ -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
@@ -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
@@ -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.
+short_description: "Recently Qdrant has become a member of the NVIDIA Inception."
-description: Along with the various opportunities it gives, we are the most
+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
@@ -2,8 +2,8 @@
 title: "Chat with a codebase using Qdrant and N8N"
 draft: false
 slug: qdrant-n8n
-short_description: Integration demo
+short_description: "Integration demo"
-description: Building a RAG-based chatbot using Qdrant and N8N to chat with a codebase on GitHub
+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
@@ -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.
+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.
+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
@@ -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
+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!
+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
@@ -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
@@ -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
+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.
+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
@@ -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
+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
+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
@@ -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.
+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.
+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
@@ -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
@@ -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
+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
+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
@@ -2,8 +2,8 @@
 draft: false
 title: "Announcing Qdrant's $28M Series A Funding Round"
 slug: series-A-funding-round
-short_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:
+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
@@ -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.
+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.
+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 
@@ -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
@@ -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.
@@ -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
@@ -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
+short_description: "Description # What is this and why is it shorter"
-description: Description # What is this and why is it longer
+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 ???
@@ -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.
@@ -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.
+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.
+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
@@ -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.
+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
+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
--- a/Show More
+++ b/Show More