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DESCRIPTION:A language model knows a great deal, and none of it is yours.
RAG — Retrieval-Augmented Generation — is how you fix that.
Fetch the right information at question time and hand it to the model, so it answers from your data instead of guessing.
No retraining. No hallucinated confidence. Just grounded, citable answers from the knowledge you actually have.
This is the complete guide to how RAG really works — the durable fundamentals, not a tour of this month's tools.
Every concept is framework- and vendor-agnostic, so it stays true whichever stack you build on.
❉ L I N K: ❉