Complete RAG Crash Course With LangChain in 2 Hours

Ever wondered how to juice up your LLM without retraining it? This crash course walks you through Retrieval-Augmented Generation (RAG) using LangChain, so your model can pull in fresh, authoritative info from any external knowledge base before answering.

You’ll see how to seamlessly connect your AI to domain-specific docs or internal data—keeping responses accurate, relevant, and totally customized. It’s a cost-effective way to boost your model’s smarts (plus, there’s a nifty GitHub repo with all the code and examples).

Watch on YouTube