TL;DR
Retrieval-Augmented Generation (RAG) lets your LLM tap into an external knowledge base—like your company’s docs—before it answers, so results stay accurate and domain-specific without retraining the model.
This 2-hour Langchain crash course (repo: https://github.com/krishnaik06/RAG-Tutorials) walks you through plugging in your own data sources cost-effectively, boosting relevance and usefulness of every AI response.
Watch on YouTube
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