TL;DR
Retrieval-Augmented Generation (RAG) supercharges your favorite LLM by letting it pull in fresh, authoritative data from your own docs or knowledge bases before it answers. No expensive retraining needed—just fetch and fuse.
This GitHub-powered, 2-hour LangChain crash course walks you through setting up RAG end to end, so your model stays accurate, on-point and totally in tune with your specific domain. Cost-effective and hands-on—perfect for anyone looking to level up their AI game.
Watch on YouTube
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