Show HN: Pg_textsearch – BM25 Ranking for Postgres(docs.tigerdata.com)
docs.tigerdata.com
Show HN: Pg_textsearch – BM25 Ranking for Postgres
https://docs.tigerdata.com/use-timescale/latest/extensions/pg-textsearch/
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https://docs.tigerdata.com/use-timescale/latest/extensions/pg-textsearch/
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Postgres native ts_rank lacks corpus-aware signals (no IDF, no TF saturation, no length normalization). This causes mediocre documents to rank above excellent matches, which matters when your LLM depends on retrieval quality.
Quick example:
Works seamlessly with pgvector or pgvectorscale for hybrid search. Fully transactional (no sync jobs). Preview release uses in-memory architecture (64MB default per index); disk-based segments coming soon.
I love ParadeDB's pg_search but wanted something available on our managed Postgres. You can try pg_textsearch free on Tiger Cloud: https://console.cloud.timescale.com
Blog: https://www.tigerdata.com/blog/introducing-pg_textsearch-tru...
Docs: https://docs.tigerdata.com/use-timescale/latest/extensions/p...
Feedback welcome, especially from folks building RAG systems or hybrid search applications.