Free sampleApplications of foundation modelseasy
A support assistant must answer from a company's private policy documents that are revised every week. Which approach keeps answers current with the least ongoing retraining?
- AFine-tune the base model on the full policy set every week.
- BUse retrieval-augmented generation over an indexed document store. Correct
- CRaise the sampling temperature so answers stay varied.
- DPaste every policy into the prompt on each request.
Retrieval-augmented generation grounds answers in current documents without retraining. Retrieval-augmented generation indexes the documents and retrieves the relevant passages at query time, so the model answers from the latest revision. Keeping content current is a re-index, not a retrain, which is why it is the low-maintenance choice for frequently changing sources.
Why B is correct: Correct. Retrieval-augmented generation fetches the current documents at query time and grounds the answer in them. A weekly revision needs only a re-index, not a retraining run.