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by simonw
429 days ago
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I don't doubt the new Cohere model is better - but one of the features I value most from an embedding model is having an escape hatch, so I can continue to calculate vectors using that same model far into the future if something happens to the hosting provider. This matters for embedding models because I'm presumably building up a database of many millions of vectors for later similarity comparisons - so I need to know I'll be able to embed an arbitrary string in the future in order for that investment to still make sense. Size doesn't matter much to me, I don't even need to be able to run that model, it's more about having an insurance policy for my own peace of mind. (Even a covenant that says "in the event that Cohere goes out of business this model will be made available under license X" would address this itch for me.) |
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That being said, since I do manage our Search and Retrieval offering, if we were to deprecate any of our embedding models (which is generally the risk of closed-source models), I will make sure that there is an "escape hatch" for users.
Heard on what your concerns are though :)