Compare the embedding similarity of two texts
Embeds both texts in one synchronous request using the platform's default
embedding model, then returns their cosine similarity. The score uses the
same 1 - cosine_distance convention as context retrieval. A score near
1.0 indicates similar vector direction; lower scores indicate less similar
text. This endpoint is intended for authenticated users interactively
exploring how the platform's retrieval similarity behaves.
Compare the embedding similarity of two texts Embeds both texts in one synchronous request using the platform's default embedding model, then returns their cosine similarity. The score uses the same
1 - cosine_distanceconvention as context retrieval. A score near1.0indicates similar vector direction; lower scores indicate less similar text. This endpoint is intended for authenticated users interactively exploring how the platform's retrieval similarity behaves.