Agentic RAG & LLMOps - How Observability helps (LangGraph & Opik)
Earlier my Agentic RAG was a black box. 4 things I can now see after adding LLM observability: š. š§šæš®š°š² š©š¶ššš®š¹š¶šš®šš¶š¼š» See every step your agent takes ā Guardrail ā Retrieve ā Grade ā Generate ā³ No more debugging blind __________________ š®. šššŗš®š» š„š²šš¶š²š šš²š²š±šÆš®š°šø Track which queries fail and why ā Thumbs up/down on each trace ā³ Subject matter experts validate outputs __________________ šÆ. š¢š»š¹š¶š»š² ššš®š¹šš®šš¶š¼š» LLM-as-judge scores every response ā Hallucination detection in production ā³ Alerts when metrics drop below threshold __________________ š°. šš»š»š¼šš®šš¶š¼š» š¤šš²šš²š Build gold standard datasets from real traces ā Export as CI/CD integration tests ā³ Prevent prompt changes from breaking production __________________ I integrated Opik with my Agentic RAG project. Setup took literally 30 minutes. Check the video for the detailed explanation of Agentic RAG with Opik by Comet. I hope this is useful :)

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