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

How do you build a ground-truth dataset to evaluate if your RAG system is actually improving over time?

How would you design a cache that returns a result even if the user's question isn't a 100% string match to a previous query?

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