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Nice work! I've made a similar demo as a web app [1] and obtained a few orders of magnitude faster performance, in the 50ms for 1.6M images on single laptop core. I've limited experience with coreml but there's a few tricks that could probably help you too? If you feel like hacking on it together shoot me an email :) (in profile)

[1] https://paulw.tokyo/post/real-time-semantic-search-demo/

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Thank you, I took a brief look and it's fantastic! I'll take a closer look tomorrow! (It's late at night here.) Would love to work with you if possible :)

What did you use as the index structure for the nearest neighbor search? Did you use a library like FAISS or Annoy?

No, just calculate the cosine similarity one by one in the simplest way.

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