A production query returns approximate neighbors quickly, but users need a different business relevance order. What is the best next step?

1. Evaluate retrieval quality separately from a reranking stage using business relevance labels
2. Treat target accuracy as a guarantee of business relevance
3. Remove the embedding model from the evaluation
4. Sort by document ID after retrieval and call that semantic ranking