How do you upgrade embedding models?
Practice this question- I version models and index data, re-embed the intended corpus into a separate compatible space, evaluate filtered retrieval, and switch query/index routing together.
- I preserve source data and support rollback instead of mixing arbitrary old and new vectors.
Adapted from 13_AI.MD · “29.4 Embeddings”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.