20x faster than pgvector: introducing pg_embedding extension for vector search in Postgres and LangChain - Neon
20x faster than pgvector: introducing pg_embedding extension for vector search in Postgres and LangChainHNSW Index for approximate nearest neighbor search in Postgres Back when we wrote this, we were proud to bring HNSW indexes to Postgres. Since then, pgvector has added support for the HNSW index, and we've chosen to pause the development of pg_embedding and contribute to pgvector instead. We pla
Storing OpenAI embeddings in Postgres with pgvector
A new PostgreSQL extension is now available in Supabase: pgvector, an open-source vector similarity search. The exponential progress of AI functionality over the past year has inspired many new real world applications. One specific challenge has been the ability to store and query embeddings at scale. In this post we'll explain what embeddings are, why we might want to use them, and how we can sto
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