Ever wanted your LLM to actually leverage up-to-the-minute or company-specific info without a full retrain? This two-hour crash course with LangChain shows you how Retrieval-Augmented Generation (RAG) hooks your model up to an external knowledge base before it answers, making its output sharper, more accurate, and domain-tailored.
All the code lives on GitHub, so you’ll walk away with a cost-effective setup that keeps your AI’s responses fresh and relevant—no giant retraining jobs required!
Watch on YouTube
Top comments (0)