The answer
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.
What is an embedding?
Are nearby embeddings always semantically similar?
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.
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.
Still have questions?
Browse all our FAQs or reach out to our support team
Want to upskill yourself?
Your learning library
Small steps. Big possibilities.
Find your next course. Build something great.