In Weaviate, the vector engine, I wonder how this can handle version issue of embedding model.
For instance, considering the (trained) word2vec model, embedded vectors from different models must be seperated.
One option might think is that make distinct multiple classes representing model version.
Custom script may useful. If new model available, create new class and import accorded data. After that, change (GET) entrypoints (used for searching nearest vectors) to the new class.
Or maybe weaviate have other fancy way to handle this issue, but I couldn't find.