Your question is Explain a RAG System. 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).
You're building a system where a language model should answer questions using a specific document collection instead of relying only on pretraining. You decide to use retrieval-augmented generation so responses stay grounded in source material.
What is retrieval-augmented generation (RAG)?