Hackernews posts about Pgvector
Pgvector is an open-source library that enables efficient storage and querying of vector data in PostgreSQL databases.
- How to Install and Configure PGVector – A Detailed Guide (www.blackslate.io)
- Show HN: Cloud-Ready Postgres MCP Server (github.com)
- Show HN: Real‑time tracking of candidates' promises in the Canadian election (2025.buildcanada.com)
- Show HN: Rocket Launch GenAI – A starter kit to build full-stack GenAI apps (www.rocketlaunchgenai.com)
- Less Slow C++ (github.com)
- Pgvector Is Now Faster Than Pinecone at 75% Less Cost (www.timescale.com)
- Pgvector 0.5.0 Feature Highlights and how tos (jkatz05.com)
- Sharding Pgvector (pgdog.dev)
- Understanding Pgvector's HNSW Index Storage in Postgres (lantern.dev)
- Pgvector: Fewer Dimensions Are Better (supabase.com)
- PGVector's Missing Features (trieve.ai)
- An early look at HNSW performance with pgvector (jkatz05.com)
- Hybrid Search with PostgreSQL and Pgvector (jkatz05.com)
- The 150x PGVector Speedup (jkatz05.com)
- Pgvector 0.4.0 Performance (supabase.com)
- Pgvectorscale: Making PostgreSQL a Better AI Database (www.timescale.com)
- Postgres Pgvector Performance Tips for Developers (www.crunchydata.com)
- What are ivfflat indexes in pgvector and how they work? (www.timescale.com)
- Pgvector 0.4.0 Performance (supabase.com)
- Pgvector Is Now Faster Than Pinecone (twitter.com)
- Pgvector 0.5.0: HNSW indexing support (jkatz05.com)
- Nile monthly launch – pg_vector is now available on Nile (www.thenile.dev)
- Faster semantic search with HNSW indexes in pgvector (supabase.com)