pg_search on Neon
Get 1,000x faster full-text search in Neon Postgres
pg_search on Neon launched on March 19, 2025 with 8 votes, #3,486 of 7,215 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
We’ve teamed up with ParadeDB to bring pg_search to all Neon users, making full-text search in Postgres faster and more powerful.
We’ve teamed up with ParadeDB to bring pg_search to all Neon users, making full-text search in Postgres faster and more powerful. Get Elastic-level speed within Neon—perfect for search-heavy apps, analytics, and filtering large datasets. Try it on the Free Plan. pg_search is a high-performance full-text search extension for Postgres. It fills Postgres’ gaps in speed, ranking quality, and advanced search capabilities, bringing Elasticsearch-grade features inside Postgres (and now, to Neon). So, what are those gaps? Postgres has native full-text search (FTS) via tsvector and tsquery, but this is not best-in-class—for example: This all translates into better performance. In a later section of…from neon.com
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- PTPg_textsearch – BM25 Ranking for PostgresOct 2025 · docs.tigerdata.com · ▲13
I built pg_textsearch, a Postgres extension that brings proper BM25 ranking to full-text search. It's designed for AI/RAG workloads where search quality directly impacts LLM output. 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: CREATE EXTENSION pg_textsearch; CREATE INDEX articles_idx ON articles USING bm25(content); SELECT title, content to_bm25query('database performance', 'articles_idx') AS…
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