Emad@EMostaque · X71
AI 摘要
在构建多智能体生产级系统时，PostgreSQL虽可靠但检索速度不足。团队为此开发并开源了psql_bm25s，这是一个原生PostgreSQL访问方法，实现了精确的BM25检索。其在标准基准测试中比pg_search快约23倍，使得检索不再成为性能瓶颈和成本负担，智能体得以高效查询数据，为大规模自主智能体应用铺平道路。
When you want to move from single agent SQLite on something like QMD， PostgreSQL is a great choice for multi agent and production quality， but not as snappy.
So we made it much more snappy with BM25 &； open sourced it.
More soon for planetary scale sovereign agents
so we built psql_bm25s. exact BM25 retrieval. native Postgres access method. ~23x faster than pg_search on the standard benchmark. retrieval stops being a budge...