Getting Started With Agentic RAG Using LangGraph

Dive into Agentic RAG, an AI setup where a smart agent dynamically decides how to fetch and generate answers—no more rigid “retrieve then generate” flow. You’ll get hands-on code examples on GitHub (github.com/krishnaik06/RAG-Tutorials) and learn how LangGraph powers reasoning steps for more accurate, context-aware responses.

P.S. It’s Diwali season, and you can snag 20% off all live courses with code AI20! Enroll now at krishnaik.in/liveclasses or the Ultimate RAG Bootcamp (id=7). Need help? Hit up Krish Naik’s team at +91 91115 33440 or +91 84848 37781.

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