postgres-hybrid-text-search

Hybrid search combines keyword search (BM25) with semantic search (vector embeddings) to get the best of both: exact keyword matching and meaning-based retrieval. Use Reciprocal Rank Fusion (RRF) to merge results from both methods into a single ranked list.

This guide covers combining pgtextsearch (BM25) with pgvector. Requires both extensions. For high-volume setups, filtering, or advanced pgvector tuning (binary quantization, HNSW parameters), see the pgvector-semantic-search skill.

pgtextsearch is a new BM25 text search extension for PostgreSQL, fully open-source and available hosted on Tiger Cloud as well as for self-managed deployments. It provides true BM25 ranking, which often improves relevance compared to PostgreSQL's built-in tsrank and can offer better performance at scale. Note: pgtextsearch is currently in prerelease and not yet recommended for production use. pgtextsearch currentl...