Ragatouille supports using models for encoding trained on Matryoshka embeddings but I wasn't able to find a way to use them for indexing. Secondly although ragatouille supports storing compressed vectors to disk but it would be great to combine them with binary/int 8 quantised embeddings. Would love to contribute if it's feasible.
Ragatouille supports using models for encoding trained on Matryoshka embeddings but I wasn't able to find a way to use them for indexing. Secondly although ragatouille supports storing compressed vectors to disk but it would be great to combine them with binary/int 8 quantised embeddings. Would love to contribute if it's feasible.