A product manual changes every week. Why can RAG be preferable to fine-tuning for answeri…

A product manual changes every week. Why can RAG be preferable to fine-tuning for answering from the latest manual?

1. The team can update and re-index the source corpus without retraining model weights
2. RAG guarantees that every generated claim is true even when retrieval fails
3. RAG removes the need to evaluate retrieval quality or cite sources