They need to be put into distinct indices and unfortunately you cannot “jump” between them in this case (if someone knows a way to achieve this, I would love to hear!)

I think I’m understanding that the item’s vector in one LLM can be stored as one index and the vector in another LLM can be stored as a second index without them colliding or one having to overwrite the other.

Is that right?

Yes, actually I already do that. Sbert is better than openai ada embeddings for many use cases.

Amazing. Then as far as I’m concerned that functionally solves the problem until the industry figures out cross-embedding jumps