Complete RAG Crash Course With Langchain In 2 Hours walks you through Retrieval-Augmented Generation (RAG), a trick that lets your LLM tap into external knowledge bases at query time. Instead of retraining the whole model, you hook it up to your own docs or domain data so answers stay relevant and accurate.
It’s a cost-effective, plug-and-play boost for everything from chatbots to translation tools — and you can dive into the code yourself on GitHub: https://github.com/krishnaik06/RAG-Tutorials
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