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LangSmith adds AI search for conversation traces

LangChain says users can describe situations such as user frustration or failed tasks to find matching traces.

LangChainLA
1 Source, 1h ago, first seen 1h ago

TLDR

LangChain announced AI Search in LangSmith at Interrupt. It says users can describe what they’re looking for and find relevant conversation traces, rather than using an evaluator or reading hours of conversations. Its examples include frustrated users, agents failing to complete tasks and users trying to cancel subscriptions.

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LangChain@LangChain🔎 Announced at Interrupt: AI Search in LangSmith You used to need an evaluator or read hours of conversations to find traces that answer questions such as: 💬 Does the user seemed frustrated?" 💬 Where did the agent fail to complete the task? 💬 Where is the user trying to cancel their subscription? Now, just describe it. LangSmith returns the traces where it happened.1h
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    1 Source

    LangChain@LangChain🔎 Announced at Interrupt: AI Search in LangSmith You used to need an evaluator or read hours of conversations to find traces that answer questions such as: 💬 Does the user seemed frustrated?" 💬 Where did the agent fail to complete the task? 💬 Where is the user trying to cancel their subscription? Now, just describe it. LangSmith returns the traces where it happened.1h
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