TL;DR
Think of Retrieval-Augmented Generation (RAG) as giving your favorite large language model a cheat sheet: it taps into an external, up-to-date knowledge base before it spits out an answer.
Why it rocks
You don’t need to retrain the whole model to keep it sharp—just point it at your latest domain docs or company wiki. It’s cheap, fast and keeps those AI answers relevant and accurate every time.
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