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
Action Steps
- Evaluate current Postgres full-text search performance
- Assess the need for improved ranking and top-k optimization
- 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
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🚀 pg_textsearch 1.0: 2-6x faster queries & 8.7x higher throughput for Postgres full-text search!
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