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I did design the library to use IVectorStore and IVectoreComparer to decouple the implementation so additional embedding implementations could be created. The use of something like GPT to create the embeddings and then use them within SharpVector is an interesting use case. I'll try to take a look at implementing this. Thanks for the suggestion!
Is it possible to store embeddings generated by some other model like GPT and store them in SharpVector Db?
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