Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours

This 2-hour crash course walks you through building a Retrieval-Augmented Generation (RAG) pipeline with Langchain, complete with code and examples on GitHub (https://github.com/krishnaik06/RAG-Tutorials).

RAG lets you plug a large language model into an external knowledge base—think company docs or domain-specific data—so you get more accurate, up-to-date responses without retraining the whole model. It’s a cost-effective way to keep LLM outputs relevant, reliable, and tailored to your needs.

Watch on YouTube