Your question is What Is RAG?. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Tell me about RAG and how it works at a high level.
Explain the main stages of a retrieval-augmented generation pipeline, including document ingestion, chunking, embedding, vector search, prompt construction, and response generation. Contrast RAG with fine-tuning, and mention how you would evaluate retrieval quality, answer quality, and grounding. Keep the explanation practical and identify important failure modes such as irrelevant retrieval, stale documents, missing context, and hallucination.
