Complete RAG Crash Course With Langchain In 2 Hours

Grab the GitHub repo and in just two hours you’ll learn how Retrieval-Augmented Generation (RAG) teams up your favorite LLM with an external knowledge base—no retraining required—to keep answers sharp, accurate, and tailored to your domain.

Think of it as a cost-effective hack that boosts your model’s IQ by letting it fetch real-time facts from trusted sources before it riffs off its own billions of parameters.

Watch on YouTube