In this two-hour Langchain crash course you’ll learn how to plug your LLM into an external knowledge base—no retraining required—so it always draws on the latest, most accurate info. All the code and step-by-step examples live on GitHub (https://github.com/krishnaik06/RAG-Tutorials), making it super easy to follow along.
Retrieval-Augmented Generation (RAG) basically turns your model into a research assistant that pulls in authoritative data before answering, so your outputs stay relevant, reliable and tailored to your specific domain without breaking the bank.
Watch on YouTube
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