A team changes its embedding model to one with a different vector dimension. What must be planned for the existing vector index?

1. Increase generator temperature to compensate for vector incompatibility.
2. Mix old and new model vectors indiscriminately in one similarity space.
3. Keep the old vectors and change only their dimension metadata.
4. Use a compatible index configuration and re-embed the corpus with the selected model.