How would you answer an interview scenario involving Retrieval-Augmented Generation?

For an interview scenario involving Retrieval-Augmented Generation, I would first clarify the business goal, scale, constraints, and the failure or quality attribute the interviewer wants to explore. Retrieval-Augmented Generation combines information retrieval with a language model so answers can use external, current, or private knowledge. In this scenario, for an enterprise policy assistant, explain the full RAG flow from document ingestion to grounded answer generation and how you would verify that retrieved evidence supports the answer. I would then explain the main alternatives and tradeoffs, identify likely failure modes, and describe how I would validate the solution through testing, observability, security controls, and recovery or rollback planning.