How to add relevance ranking to PostgreSQL text search queries using BM25 algorithm

How to add relevance ranking to PostgreSQL text search queries using BM25 algorithm

This task can be performed using Pg Textsearch

BM25-powered full-text search, natively inside PostgreSQL.

Best product for this task

Pg Tex

Pg_textsearch is a PostgreSQL extension that adds BM25 relevance-ranked full-text search with simple SQL syntax. It integrates with native text search configurations, supports partitioned tables, and targets modern Postgres versions for scalable, in-database text ranking.

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What to expect from an ideal product

  1. Install the pg_textsearch extension directly into your PostgreSQL database to get BM25 ranking without external search engines or complex setup
  2. Use familiar SQL syntax to write text search queries that automatically return results ordered by BM25 relevance scores instead of random order
  3. Connect the extension to PostgreSQL's built-in text search configurations so your existing search setups work with improved ranking right away
  4. Run BM25-ranked searches across partitioned tables to handle large datasets while maintaining fast, relevant results at scale
  5. Get proper relevance scoring for full-text searches that works natively inside PostgreSQL without moving data to separate search systems

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