> Here's what most teams miss when upgrading embedding models:vectors from different models cannot be compared with cosine similarity. I'm not in the RAG space

> Here's what most teams miss when upgrading embedding models:vectors from different models cannot be compared with cosine similarity. I'm not in the RAG space but that sounds weird to me. Not knowing this aspect of an embedding model is like a race car team not knowing their car runs on race fuel and filling it up with diesel.