新闻
Full Text Search in SmithDB: Designing an Inverted Index for Object Storage
LangChain · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- LangChain's SmithDB built a specialized inverted index for full-text search over large JSON agent traces stored in object storage with 400ms median latency.
- 为何重要
- Engineers building search systems over large semi-structured data in cloud object storage need efficient indexing strategies that account for storage latency constraints.
- 注意
- The design trades off against traditional search libraries like Tantivy because object storage has fundamentally different I/O economics than local disk with mmap access patterns.
收听本摘要
- agent
- rag
- latency
这条新闻背后的模式
- Agentic Context Engineering (Evolving Playbook)
- Structure-Aware Codebase Retrieval (Repo Map)
- Hierarchical Index Retrieval (RAPTOR)
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。