Applied AI·Embeddings and retrieval
you compared a vector from one model against a vector from another and got similarity scores that meant nothing at all.
Embedding space
Draft summary, pending review
The geometric space all of a model's vectors live in. Directions and distances in it loosely correspond to semantic relationships. Vectors from different models or versions inhabit different spaces and must never be compared to each other.