Your question is GenAI and RAG Experience. 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 discussing work where a language model needs to answer questions using a trusted internal knowledge base instead of relying only on pretraining. The conversation is focused on how you have built or would build GenAI systems that combine retrieval, prompting, and evaluation.
What is your experience with GenAI, RAG architecture, and prompt engineering?