A search index uses embeddings from one model, but query vectors come from an incompatible embedding space. Which corrective action is appropriate?

1. Align document and query embeddings to a compatible model and vector schema
2. Increase the search result count indefinitely
3. Rename the vector field without reconfiguring data
4. Add more unrelated system instructions