Complete RAG Crash Course With Langchain In 2 Hours

This hands-on crash course teaches you how to supercharge any large language model by plugging it into an external knowledge base—no expensive retraining required. You’ll learn how Retrieval-Augmented Generation (RAG) works, why it makes your LLM’s answers more accurate and context-aware, and how to set everything up using LangChain in just two hours.

Dive into the GitHub repo (https://github.com/krishnaik06/RAG-Tutorials) to follow along with examples and code snippets. By the end, you’ll know how to connect your LLM to a custom data source so it can pull in fresh, authoritative info before generating responses, making your AI apps smarter and more reliable.

Watch on YouTube