Your question is Explain RAG in Enterprise AI. 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 are building an internal AI assistant that answers employee questions using company documents, policies, and knowledge base content. A plain LLM can sound fluent, but it may answer from stale training data or invent facts that are not in your enterprise sources.
What is Retrieval-Augmented Generation (RAG), and what problem does it solve in enterprise AI?