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A teammate says RAG works by retraining the model on your documents. When a RAG system answers a question, what really happens?
It quietly connects the model to the live internet so it can look up the current answer in real time.
It fine-tunes the model on those documents so the facts are baked into its weights.
It fetches related documents and adds their text to the prompt, leaving the weights unchanged.