Complete RAG Crash Course With LangChain In 2 Hours

This speedy tutorial (with all the code on GitHub) shows you how to supercharge your favorite LLM by adding a retrieval step—so it actually pulls in facts from an external knowledge base before it answers. No retraining, no fuss; just plug in your docs, sit back, and watch your model get way more accurate and context-aware.

By the end of two hours you’ll understand how Retrieval-Augmented Generation works, why it’s a cost-effective hack for domain-specific chatbots, and how to hook up LangChain to make your LLM smarter, not just bigger.

Watch on YouTube