Agentic RAG with LangGraph takes Retrieval-Augmented Generation to the next level by letting an AI agent smartly decide how and when to pull in context and generate answers—ditching the old rigid “retrieve-then-generate” flow. You can explore the detailed implementation and grab the code on the RAG-Tutorials GitHub.
Bonus: there’s a Diwali sale—20% off all live courses with coupon AI20! Enroll via Live Classes or the Ultimate RAG Bootcamp, and hit up Krish Naik’s counselling team at +919111533440 / +91 84848 37781 if you’ve got questions.
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