Complete RAG Crash Course With Langchain In 2 Hours
This tutorial walks you through hooking up your large language model to an external knowledge base using Retrieval-Augmented Generation (RAG) — no retraining required. Check out the GitHub repo for all the code and examples: https://github.com/krishnaik06/RAG-Tutorials.
RAG lets your LLM fetch authoritative info from your own documents or domain data before it answers, keeping responses accurate, relevant and up-to-date without breaking the bank.
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