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fix broken links from new image locations & file extensions
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kanungle
@@ -7,7 +7,7 @@ description: Explore how Qdrant's Binary Quantization can significantly improve
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preview_dir: /articles_data/binary-quantization-openai/preview
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preview_image: /articles-data/binary-quantization-openai/Article-Image.png
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small_preview_image: /articles_data/binary-quantization-openai/icon.svg
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social_preview_image: /articles_data/binary-quantization-openai/preview/social-preview.png
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social_preview_image: /articles_data/binary-quantization-openai/preview/social_preview.jpg
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title_preview_image: /articles_data/binary-quantization-openai/preview/preview.webp
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date: 2024-02-21T13:12:08-08:00
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@@ -2,7 +2,7 @@
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title: "Binary Quantization: 40x Faster Vector Search"
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short_description: "Binary Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance"
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description: "Binary Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance"
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social_preview_image: /articles_data/binary-quantization/social_preview.png
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social_preview_image: /articles_data/binary-quantization/preview/social_preview.jpg
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small_preview_image: /articles_data/binary-quantization/binary-quantization-icon.svg
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preview_dir: /articles_data/binary-quantization/preview
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weight: 70
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@@ -2,7 +2,7 @@
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title: "BM42: Attention-Based Sparse Embeddings for Hybrid Search"
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short_description: "Introducing next evolutionary step in lexical search."
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description: "Introducing BM42 - a new sparse embedding approach, which combines the benefits of exact keyword search with the intelligence of transformers."
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social_preview_image: /articles_data/bm42/social-preview.jpg
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social_preview_image: /articles_data/bm42/preview/social_preview.jpg
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preview_dir: /articles_data/bm42/preview
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weight: 40
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author: Andrey Vasnetsov
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@@ -3,7 +3,6 @@ title: "Qdrant Summer of Code 2024 - ONNX Cross Encoders in Python"
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short_description: QSoC 2024 ONNX Cross Encoders in Python
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description: A summary of my work and experience at Qdrant Summer of Code 2024.
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preview_dir: /articles_data/cross-encoder-integration-gsoc/preview
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small_preview_image: /articles_data/cross-encoder-integration-gsoc/icon.svg
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social_preview_image: /articles_data/cross-encoder-integration-gsoc/preview/social_preview.jpg
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weight: -212
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author: Huong (Celine) Hoang
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@@ -2,7 +2,7 @@
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title: "Do You Need Dedicated Vector Search?"
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short_description: "Why vector search requires to be a dedicated service."
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description: "Why vector search requires a dedicated service."
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social_preview_image: /articles_data/dedicated-service/social-preview.png
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social_preview_image: /articles_data/dedicated-service/preview/social_preview.jpg
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small_preview_image: /articles_data/dedicated-service/preview/icon.svg
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preview_dir: /articles_data/dedicated-service/preview
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weight: 90
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@@ -2,7 +2,7 @@
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title: "Discovery Search in Qdrant"
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short_description: Discover points by constraining the vector space.
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description: Discovery Search, an innovative way to constrain the vector space in which a search is performed, relying only on vectors.
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social_preview_image: /articles_data/discovery-search/social_preview.jpg
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social_preview_image: /articles_data/discovery-search/preview/social_preview.jpg
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small_preview_image: /articles_data/discovery-search/icon.svg
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preview_dir: /articles_data/discovery-search/preview
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weight: 20
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@@ -2,7 +2,7 @@
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title: "Data Exploration with Qdrant's Distance Matrix API"
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short_description: "Efficient visualization and clusterization of high-dimensional data with Qdrant"
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description: "Explore your data under a new angle with Qdrant's tools for dimensionality reduction, clusterization, and visualization."
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social_preview_image: /articles_data/distance-based-exploration/social-preview.jpg
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social_preview_image: /articles_data/distance-based-exploration/preview/social_preview.jpg
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preview_dir: /articles_data/distance-based-exploration/preview
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weight: 10
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author: Andrey Vasnetsov
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@@ -3,7 +3,7 @@ title: "Filterable HNSW Without Recall Loss"
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short_description: How to make ANN search with custom filtering?
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description: How to make ANN search with custom filtering? Search in selected subsets without losing the results.
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# external_link: https://blog.vasnetsov.com/posts/categorical-hnsw/
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social_preview_image: /articles_data/filterable-hnsw/social_preview.jpg
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social_preview_image: /articles_data/filterable-hnsw/preview/social_preview.jpg
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preview_dir: /articles_data/filterable-hnsw/preview
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small_preview_image: /articles_data/filterable-hnsw/global-network.svg
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weight: 40
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@@ -3,7 +3,7 @@ title: "Hybrid Search with Qdrant's Query API"
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short_description: "Merging different search methods to improve the search quality was never easier"
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description: "Our new Query API allows you to build a hybrid search system that uses different search methods to improve search quality & experience. Learn more here."
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preview_dir: /articles_data/hybrid-search/preview
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social_preview_image: /articles_data/hybrid-search/social-preview.png
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social_preview_image: /articles_data/hybrid-search/preview/social_preview.jpg
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weight: 80
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author: Kacper Łukawski
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author_link: https://kacperlukawski.com
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@@ -2,7 +2,7 @@
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title: "Immutable Data Structures in Qdrant"
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short_description: "Learn how immutable data structures improve vector search performance in Qdrant."
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description: "Learn how immutable data structures improve vector search performance in Qdrant."
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social_preview_image: /articles_data/immutable-data-structures/social_preview.png
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social_preview_image: /articles_data/immutable-data-structures/preview/social_preview.jpg
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preview_dir: /articles_data/immutable-data-structures/preview
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weight: 20
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author: Andrey Vasnetsov
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@@ -2,7 +2,7 @@
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title: "Faster Disk I/O for Vector Search Using io_uring"
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short_description: "The Linux io_uring API offers great performance in certain cases. Here's how Qdrant uses it!"
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description: "Slow disk decelerating your Qdrant deployment? Get on top of IO overhead with this one trick!"
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social_preview_image: /articles_data/io_uring/social_preview.png
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social_preview_image: /articles_data/io_uring/preview/social_preview.jpg
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small_preview_image: /articles_data/io_uring/io_uring-icon.svg
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preview_dir: /articles_data/io_uring/preview
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weight: 30
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@@ -2,7 +2,7 @@
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title: "Using LangChain for Question Answering with Qdrant"
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short_description: "Large Language Models might be developed fast with modern tool. Here is how!"
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description: "We combined LangChain, a pre-trained LLM from OpenAI, SentenceTransformers & Qdrant to create a question answering system with just a few lines of code. Learn more!"
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social_preview_image: /articles_data/langchain-integration/social_preview.png
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social_preview_image: /articles_data/langchain-integration/preview/social_preview.jpg
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small_preview_image: /articles_data/langchain-integration/chain.svg
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preview_dir: /articles_data/langchain-integration/preview
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weight: 40
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@@ -3,7 +3,7 @@ title: "Late Interaction Retrieval with Dense Token Embeddings"
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short_description: "Standard dense embedding models perform surprisingly well in late interaction scenarios."
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description: "We recently discovered that embedding models can become late interaction models & can perform surprisingly well in some scenarios. See what we learned here."
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preview_dir: /articles_data/late-interaction-models/preview
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social_preview_image: /articles_data/late-interaction-models/social-preview.png
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social_preview_image: /articles_data/late-interaction-models/preview/social_preview.jpg
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weight: 30
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author: Kacper Łukawski
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author_link: https://kacperlukawski.com
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@@ -3,7 +3,7 @@ title: "Modern Sparse Neural Retrieval: From Theory to Practice"
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short_description: ""
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description: "A comprehensive guide to modern sparse neural retrievers: COIL, TILDEv2, SPLADE, and more. Find out how they work and learn how to use them effectively."
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preview_dir: /articles_data/modern-sparse-neural-retrieval/preview
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social_preview_image: /articles_data/modern-sparse-neural-retrieval/social-preview.png
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social_preview_image: /articles_data/modern-sparse-neural-retrieval/preview/social_preview.jpg
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weight: 20
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author: Evgeniya Sukhodolskaya
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date: 2024-10-23T00:00:00.000Z
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@@ -2,7 +2,7 @@
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title: "How to Implement Multitenancy and Custom Sharding in Qdrant"
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short_description: "Explore how Qdrant's multitenancy and custom sharding streamline machine-learning operations, enhancing scalability and data security."
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description: "Discover how multitenancy and custom sharding in Qdrant can streamline your machine-learning operations. Learn how to scale efficiently and manage data securely."
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social_preview_image: /articles_data/multitenancy/social_preview.png
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social_preview_image: /articles_data/multitenancy/preview/social_preview.jpg
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preview_dir: /articles_data/multitenancy/preview
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small_preview_image: /articles_data/multitenancy/icon.svg
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weight: 60
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@@ -3,7 +3,7 @@ title: "Neural Search 101: A Complete Guide and Step-by-Step Tutorial"
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short_description: Step-by-step guide on how to build a neural search service.
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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.
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# external_link: https://blog.qdrant.tech/neural-search-tutorial-3f034ab13adc
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social_preview_image: /articles_data/neural-search-tutorial/social_preview.jpg
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social_preview_image: /articles_data/neural-search-tutorial/preview/social_preview.jpg
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preview_dir: /articles_data/neural-search-tutorial/preview
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small_preview_image: /articles_data/neural-search-tutorial/tutorial.svg
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weight: 70
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@@ -2,7 +2,7 @@
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title: "Product Quantization for Vector Search"
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short_description: "Vector search with low memory? Try out our brand-new Product Quantization!"
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description: "Discover product quantization in vector search technology. Learn how it optimizes storage and accelerates search processes for high-dimensional data."
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social_preview_image: /articles_data/product-quantization/social_preview.png
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social_preview_image: /articles_data/product-quantization/preview/social_preview.jpg
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small_preview_image: /articles_data/product-quantization/product-quantization-icon.svg
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preview_dir: /articles_data/product-quantization/preview
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weight: 80
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@@ -2,7 +2,7 @@
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title: "Question Answering as a Service with Cohere and Qdrant"
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short_description: "End-to-end Question Answering system for the biomedical data with SaaS tools: Cohere co.embed API and Qdrant"
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description: "End-to-end Question Answering system for the biomedical data with SaaS tools: Cohere co.embed API and Qdrant"
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social_preview_image: /articles_data/qa-with-cohere-and-qdrant/social_preview.png
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social_preview_image: /articles_data/qa-with-cohere-and-qdrant/preview/social_preview.jpg
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small_preview_image: /articles_data/qa-with-cohere-and-qdrant/q-and-a-article-icon.svg
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preview_dir: /articles_data/qa-with-cohere-and-qdrant/preview
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weight: 50
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@@ -2,7 +2,7 @@
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title: "Introducing Qdrant 1.2.x"
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short_description: "Check out what Qdrant 1.2 brings to vector search"
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description: "Check out what Qdrant 1.2 brings to vector search"
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social_preview_image: /articles_data/qdrant-1.2.x/social_preview.png
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social_preview_image: /articles_data/qdrant-1.2.x/preview/social_preview.jpg
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small_preview_image: /articles_data/qdrant-1.2.x/icon.svg
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preview_dir: /articles_data/qdrant-1.2.x/preview
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weight: 8
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@@ -2,7 +2,7 @@
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title: "Introducing Qdrant 1.3.0"
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short_description: "New version is out! Our latest release brings about some exciting performance improvements and much-needed fixes."
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description: "New version is out! Our latest release brings about some exciting performance improvements and much-needed fixes."
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social_preview_image: /articles_data/qdrant-1.3.x/social_preview.png
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social_preview_image: /articles_data/qdrant-1.3.x/preview/social-preview.jpg
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small_preview_image: /articles_data/qdrant-1.3.x/icon.svg
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preview_dir: /articles_data/qdrant-1.3.x/preview
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weight: 2
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@@ -2,7 +2,7 @@
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title: "Qdrant 1.7.0 has just landed!"
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short_description: "Qdrant 1.7.0 brought a bunch of new features. Let's take a closer look at them!"
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description: "Sparse vectors, Discovery API, user-defined sharding, and snapshot-based shard transfer. That's what you can find in the latest Qdrant 1.7.0 release!"
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social_preview_image: /articles_data/qdrant-1.7.x/social_preview.png
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social_preview_image: /articles_data/qdrant-1.7.x/preview/social_preview.jpg
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small_preview_image: /articles_data/qdrant-1.7.x/icon.svg
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preview_dir: /articles_data/qdrant-1.7.x/preview
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weight: -90
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@@ -4,7 +4,7 @@ draft: false
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slug: qdrant-1.8.x
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short_description: "Faster sparse vectors.Optimized indexation. Optional CPU resource management."
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description: "Explore the latest in search technology with Qdrant 1.8.0! Discover faster performance, smarter indexing, and enhanced search capabilities."
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social_preview_image: /articles_data/qdrant-1.8.x/social_preview.png
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social_preview_image: /articles_data/qdrant-1.8.x/preview/social_preview.jpg
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small_preview_image: /articles_data/qdrant-1.8.x/icon.svg
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preview_dir: /articles_data/qdrant-1.8.x/preview
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weight: -140
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@@ -3,7 +3,7 @@ title: Vector Search in constant time
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short_description: Apply Quantum Computing to your search engine
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description: Quantum Quantization enables vector search in constant time. This article will discuss the concept of quantum quantization for ANN vector search.
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preview_dir: /articles_data/quantum-quantization/preview
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social_preview_image: /articles_data/quantum-quantization/social_preview.png
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social_preview_image: /articles_data/quantum-quantization/preview/social_preview.jpg
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small_preview_image: /articles_data/quantum-quantization/icon.svg
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weight: 1000
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author: Prankstorm Team
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@@ -2,7 +2,7 @@
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title: "Scalar Quantization for Vector Search"
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short_description: "Discover scalar quantization for optimized data storage and improved performance, including data compression benefits and efficiency enhancements."
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description: "Discover the efficiency of scalar quantization for optimized data storage and enhanced performance. Learn about its data compression benefits and efficiency improvements."
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social_preview_image: /articles_data/scalar-quantization/social_preview.png
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social_preview_image: /articles_data/scalar-quantization/preview/social_preview.jpg
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small_preview_image: /articles_data/scalar-quantization/scalar-quantization-icon.svg
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preview_dir: /articles_data/scalar-quantization/preview
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weight: 90
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@@ -2,7 +2,7 @@
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title: "Serverless Semantic Search"
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short_description: "Need to setup a server to offer semantic search? Think again!"
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description: "Create a serverless semantic search engine using nothing but Qdrant and free cloud services."
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social_preview_image: /articles_data/serverless/social_preview.png
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social_preview_image: /articles_data/serverless/preview/social-preview.jpg
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small_preview_image: /articles_data/serverless/icon.svg
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preview_dir: /articles_data/serverless/preview
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weight: 30
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@@ -2,7 +2,7 @@
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title: "Understanding SPLADE and Sparse Vectors"
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short_description: "Discover sparse vectors, their function, and significance in modern data processing, including methods like SPLADE for efficient use."
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description: "Learn what sparse vectors are, how they work, and their importance in modern data processing. Explore methods like SPLADE for creating and leveraging sparse vectors efficiently."
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social_preview_image: /articles_data/sparse-vectors/social_preview.png
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social_preview_image: /articles_data/sparse-vectors/preview/social_preview.jpg
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small_preview_image: /articles_data/sparse-vectors/sparse-vectors-icon.svg
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preview_dir: /articles_data/sparse-vectors/preview
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weight: 80
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@@ -2,7 +2,7 @@
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title: "Advanced Introduction to Triplet Loss"
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short_description: "What are the advantages of Triplet Loss and how to efficiently implement it?"
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description: "What are the advantages of Triplet Loss over Contrastive loss and how to efficiently implement it?"
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social_preview_image: /articles_data/triplet-loss/social_preview.jpg
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social_preview_image: /articles_data/triplet-loss/preview/social_preview.jpg
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preview_dir: /articles_data/triplet-loss/preview
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small_preview_image: /articles_data/triplet-loss/icon.svg
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weight: 80
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@@ -3,7 +3,7 @@ title: "A Complete Guide to Filtering in Vector Search"
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short_description: "Merging different search methods to improve the search quality was never easier"
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description: "Learn everything about filtering in Qdrant. Discover key tricks and best practices to boost semantic search performance and reduce Qdrant's resource usage."
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preview_dir: /articles_data/vector-search-filtering/preview
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social_preview_image: /articles_data/vector-search-filtering/social-preview.png
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social_preview_image: /articles_data/vector-search-filtering/preview/social_preview.jpg
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||||
weight: 70
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||||
author: Sabrina Aquino, David Myriel
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author_link:
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@@ -3,7 +3,7 @@ title: "Vector Search in Production: Scaling, HA & Tuning Guide"
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short_description: "A comprehensive guide to running vector search in production environments"
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description: "We gathered our most recommended tips and tricks to make your production deployment run smoothly."
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preview_dir: /articles_data/vector-search-production/preview
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||||
social_preview_image: /articles_data/vector-search-production/social_preview.png
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social_preview_image: /articles_data/vector-search-production/preview/social_preview.jpg
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author: David Myriel
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author_link:
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date: 2025-04-30T00:00:00.000Z
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||||
@@ -6,7 +6,7 @@ short_description: Explore the power of vector embeddings. Learn to use numerica
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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.
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preview_dir: /articles_data/what-are-embeddings/preview
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weight: 70
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||||
social_preview_image: /articles_data/what-are-embeddings/preview/social-preview.jpg
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||||
social_preview_image: /articles_data/what-are-embeddings/preview/social_preview.jpg
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||||
small_preview_image: /articles_data/what-are-embeddings/icon.svg
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date: 2024-02-06T15:29:33-03:00
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author: Sabrina Aquino
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@@ -6,7 +6,6 @@ description: Discover what a vector database is, its core functionalities, and r
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preview_dir: /articles_data/what-is-a-vector-database/preview
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weight: 30
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social_preview_image: /articles_data/what-is-a-vector-database/preview/social_preview.png
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||||
small_preview_image: /articles_data/what-is-a-vector-database/icon.svg
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date: 2024-10-09T09:29:33-03:00
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aliases: [ /blog/what-is-a-vector-database/ ]
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author: Sabrina Aquino
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@@ -6,7 +6,7 @@ short_description: What is Vector Quantization? Methods & Examples
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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.
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preview_dir: /articles_data/what-is-vector-quantization/preview
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weight: 40
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||||
social_preview_image: /articles_data/what-is-vector-quantization/preview/social-preview.jpg
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||||
social_preview_image: /articles_data/what-is-quantization/preview/social_preview.jpg
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date: 2024-09-25T09:29:33-03:00
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author: Sabrina Aquino
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featured: true
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|
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