pg_textsearch 1.0: How We Built a BM25 Search Engine on Postgres Pages

📰 Hackernoon

pg_textsearch 1.0 introduces a BM25 search engine on Postgres pages for improved full-text search scalability

intermediate Published 8 Apr 2026
Action Steps
  1. Evaluate current Postgres full-text search performance
  2. Assess the need for improved ranking and top-k optimization
  3. Consider implementing pg_textsearch for better relevance and faster queries
Who Needs to Know This

Database administrators and developers on a team can benefit from pg_textsearch as it improves the performance and relevance of full-text search queries, making it easier to manage and scale their databases

Key Insight

💡 pg_textsearch introduces native BM25 with Block-Max WAND for improved full-text search performance on Postgres

Share This
🚀 pg_textsearch 1.0: 2-6x faster queries & 8.7x higher throughput for Postgres full-text search!
Read full article → ← Back to Reads