Complete RAG Crash Course With Langchain In 2 Hours

Ever wished your LLM could dig up extra smarts from your own docs? Retrieval-Augmented Generation (RAG) does just that—your model pulls in facts from an external knowledge base before answering, keeping responses accurate and on-point without a costly retrain.

This two-hour, hands-on tutorial uses Langchain to show you how to plug into internal or domain-specific data, supercharging your LLM for real-world tasks. All the code lives on GitHub, so you can start building a smarter chatbot in no time.

Watch on YouTube