A user asks, "How does the CEO's bonus this year compare to the company's Q3 revenue?" How do you retrieve the two separate pieces of information needed for this?

If a company has a 1,000-page internal wiki that updates daily, would you recommend RAG or fine-tuning? Why?

If a user asks a vague question like "Tell me more about that," how do you ensure the retriever finds relevant documents from past conversation history?

Retrieval adds a "hop" before generation. How would you minimize the time-to-first-token (TTFT) for a user?