TL;DR
The tutorial “Getting Started With Agentic RAG With Detailed Implementation Using LangGraph” walks you through building an advanced Retrieval-Augmented Generation system where an autonomous agent dynamically decides what to retrieve and generate—breaking free of the usual fixed pipeline. All the code lives on GitHub (github.com/krishnaik06/RAG-Tutorials), and you’ll get hands-on with LangGraph to see how reasoning and planning power up your RAG workflows.
By the way, here’s a Diwali treat: grab 20% off all live courses with coupon code AI20! Enroll at krishnaik.in/liveclasses or the Ultimate RAG Bootcamp link, and hit up Krish Naik’s counselling team at +91 91115 33440 or +91 84848 37781 if you need any help.
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