Complete RAG Crash Course With Langchain In 2 Hours
Get up and running with Retrieval-Augmented Generation (RAG) in just two hours using Langchain—complete with code examples and a GitHub repo (https://github.com/krishnaik06/RAG-Tutorials).
RAG supercharges your favorite LLM by letting it fetch facts from your own knowledge base before answering, so you get up-to-date, domain-specific, accurate responses without the huge hassle (or cost) of retraining.
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