LangChain团队手把手教你如何为agent traces造一个数据库，对象存储上做全文搜索还能压到50-100ms延迟，干货满满。
LangChain团队发布技术博客，详细介绍SmithDB的构建与运行。SmithDB是一个专门为agent traces设计的数据库，其所有持久数据存储在对象存储中。博客阐述了如何在这种存储上构建、压缩和查询全文搜索索引，并处理每个GET请求50–100ms的延迟。团队分享了在生产环境中运行SmithDB倒排索引（inverted index）的经验。
Technical blog on how we built SmithDB (our database purpose built for agent traces)
Technical blog on how we built SmithDB (our database purpose built for agent traces) LangChain @LangChain How do you construct, compact, and query a full-text search index when all your durable data lives in object storage? And where every GET costs 50–100ms? @ankush_gola11 + team on how we built and run SmithDB's inverted index in production. langchain.com/blog/full-text… 🔗 View Quoted Tweet 💬 3 🔄 0 ❤️ 9 👀 1221 📊 3 ⚡