Ever wished your LLM could check your custom docs before answering? The Complete RAG Crash Course with Langchain in 2 Hours teaches you how to set up Retrieval-Augmented Generation (RAG) — a trick to have your model tap into an external knowledge base on the fly, boosting accuracy and relevance without retraining. The companion GitHub repo has all the code you need to get started.
In short, RAG lets you blend the raw power of large language models with your domain-specific data, giving you up-to-date, fact-checked outputs on the cheap. Perfect for teams or businesses that need precise, context-aware AI without breaking the bank.
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