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Reddit r/MachineLearningSeptember 18, 2026

I posted my embedding migration project here, it got a lot of attention, so I added the features you guys said were missing [R]

Excerpt

A little while ago, I posted about embedflow https://github.com/arnsri33/embedflow and it got a lot of attention. The basic idea was pretty simple keep your existing embedding index for candidate retrieval → rerank "k" candidates with the new embedding model → progressively materialize the new embeddings instead of requiring a full re-embed before you can use the new model. The project got way more attention than I expected, and a bunch of comments were variations of -cool idea, but how do I act