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Ÿ­. š—§š—æš—®š—°š—² š—©š—¶š˜€š˜‚š—®š—¹š—¶š˜‡š—®š˜š—¶š—¼š—» See every step your agent takes → Guardrail → Retrieve → Grade → Generate ↳ No more debugging blind __________________ šŸ®. š—›š˜‚š—ŗš—®š—» š—„š—²š˜ƒš—¶š—²š˜„ š—™š—²š—²š—±š—Æš—®š—°š—ø Track which queries fail and why → Thumbs up/down on each trace ↳ Subject matter experts validate outputs __________________ šŸÆ. š—¢š—»š—¹š—¶š—»š—² š—˜š˜ƒš—®š—¹š˜‚š—®š˜š—¶š—¼š—» LLM-as-judge scores every response → Hallucination detection in production ↳ Alerts when metrics drop below threshold __________________ šŸ°. š—”š—»š—»š—¼š˜š—®š˜š—¶š—¼š—» š—¤š˜‚š—²š˜‚š—²š˜€ Build gold standard datasets from real traces → Export as CI/CD integration tests ↳ 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 :)