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I made a way to migrate between embedding models without re-embedding your entire corpus [R]

Via r/MachineLearning
Thursday, Sep 10, 2026 · 12:14AM
Summary

So I was playingw ith embedding models I saw that when you upgrade from model A to B, you face a very big backfilling cost Ie, suppose you have a 1b vectors from model A, and then you want to use model B. This would mean you have to re-embed all of your documents with model B before you can even ser

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