The answer
Direct comparison is usually invalid because the models can define different coordinate spaces. Re-encode the collection consistently or use an explicitly trained alignment method.
What is an embedding?
Can I mix embeddings from two different models in one search index?
More FAQs in What is an embedding?
It is a representation that may preserve useful information, but it is not generally a lossless encoding from which the original text can be recovered exactly.
Only when the model and training objective make that distance meaningful. Some embeddings reflect interaction patterns, labels, or other task-specific relationships instead of general semantic similarity.
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