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Vector Databases Are Missing a Foreign Key to the Model Version

TL;DR — Vector databases let embeddings from different model versions sit in the same index with no complaint, because the vectors are type-valid even when they're geometrically meaningless together. At data-warehouse scale, re-embedding billions of rows after a model upgrade is a massive, slow bat…

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  1. 2026-10-11 13:16 · DEV Community — Machine Learning
    Vector Databases Are Missing a Foreign Key to the Model Version

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