Comment by billconan

Thank you for sharing! I have a question about embedding versioning/migration. I'm not sure if this research solves it?

Say I want to build an app with embedding/vector search. Currently, my embeddings are generated by model A, that is not open source. Later, I find a better embedding model B, and my new data will be using this model B. Since A and B are two different vector spaces, how can I migrate A to B, or how can I make vector search work without migrating A to B?

Can your research solve this problem? Also，if all embedding models are the same, is there a point of upgrading the model at all? some must be better trained than others?