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

Complete RAG Crash Course With Langchain In 2 Hours

In this 2-hour crash course you’ll dive into Retrieval-Augmented Generation (RAG), a smart trick that lets a large language model tap into your own knowledge base before answering—no retraining required. By pairing an LLM’s raw power with external, authoritative data, RAG keeps outputs relevant, accurate and cost-efficient.

You’ll get hands-on with Langchain and a ready-to-go GitHub repo (https://github.com/krishnaik06/RAG-Tutorials) to see how easy it is to plug in your docs and start generating informed, domain-specific text in minutes.

Watch on YouTube