RAG
also Retrieval-Augmented Generation
A technique that retrieves relevant documents from a knowledge source and inserts them into the prompt so the model answers from that grounded context.
Analogy
Like an open-book exam: instead of relying on memory, the model looks up the relevant pages before answering.
Why it matters
RAG lets Claude answer accurately from your own knowledge base or docs without retraining the model.
In practice
Pulling the three most relevant help-desk articles into the prompt before the model drafts a support reply.