Complete RAG Crash Course With Langchain In 2 Hours

Dive into a hands-on 2-hour tutorial (code on GitHub: https://github.com/krishnaik06/RAG-Tutorials) that shows you how to supercharge your large language models by plugging them into external knowledge bases. Instead of retraining gigantic LLMs, Retrieval-Augmented Generation (RAG) lets them fetch up-to-date, domain-specific info on the fly for more accurate, context-aware answers.

It’s a cost-effective way to keep your AI’s output fresh and reliable—perfect for businesses or niche projects where the latest data really matters. Follow along with Langchain and get your LLM referencing the right docs in no time!

Watch on YouTube