Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/pg_textsearch-10-how-we-built-a-bm25-search-engine-on-postgres-pages.
Explore pg_textsearch, a native BM25 index for Postgres delivering faster top-k search, better ranking, and up to 8.7x higher throughput—no Elasticsearch needed
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Postgres full-text search struggles at scale due to poor ranking and no top-k optimization. pg_textsearch introduces native BM25 with Block-Max WAND, delivering better relevance and 2–6x faster queries plus 8.7x higher throughput. Built directly on Postgres storage, it removes the need for Elasticsearch sidecars while maintaining WAL, replication, and operational simplicity.