How do you implement "hard filters" (e.g., "only show documents from 2024") in a vector database without sacrificing search speed?

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

How do you handle a "Delete" request in your vector database if a user wants their data removed (Right to be Forgotten)?

Explain how you would combine BM25 (keyword) and Vector (semantic) search. What kind of queries would fail if you only used vector search?