LangSmith adds tracing for LangGraph agents and automated RAG evaluation
10/03/2026 — 10/03, 23:12·1 sources·1 reports
Story overview
On October 3, 2026, a post published on Juejin introduced LangSmith, presenting it as a path from tracing to automated RAG evaluation. The article opens with a problem that shows up soon after building a LangGraph Agent or a RAG application: the program runs, but what happens inside it is unclear. Which nodes did a single request pass through? What did the Retriever return?
What prompt did the model actually receive? LangSmith is aimed at exactly this class of questions. According to the post, it provides tracing for LangGraph Agent and RAG applications, making those steps in the chain visible. Beyond tracing, the article goes on to explain how to use LangSmith for automated RAG evaluation, extending the tool's use into the evaluation stage. As of this report, the verifiable material stops at that single introductory post: it does not mention a version number, a release timeline, or any follow-up updates, and no other parties are quoted. The story therefore currently rests at an introduction to LangSmith's tracing and automated RAG evaluation capabilities.
AI-generated from 1 reports · updated 2 hours ago
Latest turnLangSmith traces LangGraph agents and RAG apps, showing which nodes a request passed through, what the retriever returned, and the exact prompt the model received. The article then walks through using it for automated RAG evaluation.
Reports on this story headlines open the original
LangSmith traces LangGraph agents and RAG apps, showing which nodes a request passed through, what the retriever returned, and the exact prompt the model received. The article then walks through using it for automated RAG evaluation.
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