产品
LangChain 自研的 Agent 可观测性与评估专用数据层。
已收录 5 篇与「SmithDB」相关的 AI 资讯和分析。
LangSmith's next phase introduces SmithDB as the foundational layer to improve trace data utility beyond just loading speed, marking an architectural upgrade for agent observability announced officially by LangChain.
入选理由：SmithDB是LangSmith新阶段的基础数据层，专为agent可观测性设计
SmithDB provides second-level trace capabilities, significantly improving system observability.
入选理由：SmithDB 能在几秒钟内展示追踪信息，而不是几分钟。
LangChain launches SmithDB, a self-hosted data layer purpose-built for agent observability and evaluation workloads, supporting low-latency complex queries over large traces with multi-cloud deployment.
入选理由：SmithDB 针对 Agent 可观测性场景设计，解决传统数据库难以处理大规模 Trace 复杂查询的问题
Harrison Chase launched a poll asking users to choose between SmithDB and LangSmith Engine, a purpose-built database for agent trace data and an AI agent that optimizes other agents using trace data, respectively.
入选理由：SmithDB 是专为存储和管理智能体（agent）追踪数据构建的数据库。
SmithDB uses Apache DataFusion as its query engine, optimizing specific workloads and storage backend performance through custom execution plans. This is LangChain's key technical choice in building SmithDB, and DataFusion's Rust foundation and extensibility simplified the development process.
入选理由：SmithDB采用Apache DataFusion作为底层查询引擎
与「SmithDB」经常一起出现的 AI 术语。
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