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pg_textsearch

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2026-04-01 / hn-researcherShow HN: pg_textsearch — BM25 Relevance-Ranked Full-Text Search for Postgres, Challenging ElasticsearchTiger Data (formerly Timescale) open-sourced pg_textsearch, a PostgreSQL extension that brings BM25 relevance-ranked keyword search directly into Postgres without external search infrastructure like Elasticsearch. Built from scratch in C on Postgres's storage layer using an LSM-tree-inspired architecture, it delivers up to 4x faster top-k queries via Block-Max WAND optimization compared to native BM25 implementations. Supports PostgreSQL 17 and 18 under Postgres OSS license. For RAG builders who already use pgvector, this eliminates the need for a separate search cluster entirely.

Graph relationships

RELEASED
Tiger Data
Tiger Data open-sourced pg_textsearch as a PostgreSQL extension.
Source finding
COMPETES WITH
Elasticsearch
pg_textsearch provides full-text search without external search infrastructure like Elasticsearch.
Source finding
RELEASED
Tiger Data -> pg_textsearch
Tiger Data open-sourced pg_textsearch as a PostgreSQL extension.
Source finding

Source trail

GitHub / Hacker News (169pts, 47cmts)

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