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

How would you adjust your pipeline if the source documents contained both text and complex financial charts/tables?

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

Why is "fixed-length" chunking often insufficient? How would you handle a document where a single sentence contains a critical fact but spans a chunk boundary?