Get a vector representation of the given input that machine learning models and algorithms can easily use.Represents the embedding vector returned by the embeddings endpoint.The index of the embedding in the list of embeddings.The embedding vector, which is a list of floats. The length of the vector depends on the model listed in the embeddings guide.The object type, always "embedding".{
"object": "embedding",
"embedding": [
0.0023064255,
-0.009327292,
.... (1536 floats total for ada-002)
-0.0028842222,
],
"index": 0
}
Modified at 2026-03-06 15:34:52