Hybrid search combines full text and semantic search for more relevant results
Learn how to implement it using @pgvector and @OpenAI 🤖
https://t.co/a45MuKo0T3
The @pgvector 0.6.0 release is now available! There are many performance improvements to HNSW index building, including support for parallel builds. Lots of awesome work by @andrewkane and Heikki Linnakangas on this release. Changelog here: https://t.co/RfYWDJZrYQ
New episode: "pgvector"
Michael is joined by Jonathan Katz (@jkatz05), @PostgreSQL Core Team member, Product Manager @awscloud, and @pgvector contributor.
They cover what it is, some tuning guidance, and a look ahead.
🎧 https://t.co/QHYjtm2LG9
📺 https://t.co/bjQ03bga4O
🧠 A developer's guide to the ivfflat index in pgvector
Learn how it enables approximate nearest neighbor search when using @PostgreSQL as a vector database, plus best practices (and gotchas!) when using it for similarity search over @OpenAI embeddings.
https://t.co/Y796cKOXXf
✨A zero to hero guide to create, store and query @OpenAI embeddings with @PostgreSQL and pgvector.
Learn how to build a chatbot to answer questions about blog posts using PostgreSQL as a vector database for OpenAI embeddings.
https://t.co/AcfMsegW7F