Vector Search
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Vector Search news and updates covering finding items by similarity in embedding space rather than by exact match. Readers can learn about index structures such as HNSW and IVF, distance metrics, recall and latency tradeoffs, filtering alongside vectors, hybrid search with keywords.
Vector Search Performance: The Rise of RecallMeilisearch April UpdatesCosine SimilarityDevRel newsletter — May 10, 2024Harnessing the Power of Language Models to Solve Big Data Challengesfzliu/radient: Radient turns many data typesHow to Build RAG Applications with Pinecone Serverless, OpenAI, Langchain and PythonTopic Extraction with Neo4j GDS for Better Semantic Search in RAG ApplicationsSingleStore Wins Five 2024 Top Rated Awards from TrustRadiusProduction-Quality RAG Applications with Databricks
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