Design a fallback path when retrieval returns weak evidence.

Instruction: Explain how you would handle low-evidence results in a user-facing RAG assistant.

Context: Assesses whether the candidate can design a practical architecture and explain the main tradeoffs. Explain how you would handle low-evidence results in a user-facing RAG assistant.

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The way I'd approach it in an interview is this: When retrieval is weak, the fallback should protect trust rather than protect answer volume. I usually define a small set of graceful options: ask a clarifying question, offer a narrower answer with caveats, show the closest relevant documents, or escalate to a human or another...

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