TL;DR

Ever wished your GPT had a built-in cheat sheet? That’s exactly what Retrieval-Augmented Generation (RAG) does: it hooks your LLM up to an external knowledge base so every answer stays accurate, relevant and up to date—no expensive retraining required.

This 2-hour LangChain crash course (code on GitHub: https://github.com/krishnaik06/RAG-Tutorials) walks you through setting up RAG from scratch, supercharging your model with domain-specific or internal company data in a snap.

Watch on YouTube