A maintenance assistant must answer questions using service bulletins released every week and cite the bulletin used. Which architecture best supports this requirement?

1. Retrieve relevant bulletins at query time and generate an answer from that evidence.
2. Use only a sentiment classifier trained on bulletin titles.
3. Fine-tune once on last year's bulletins and answer from model weights.
4. Raise the sampling temperature before answering from the base model.