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?