Get a vector representation of a given input that machine learning models and algorithms can easily use.Represents the embedding vector returned by the embedding endpoint.Embed indexes embedded in the list.Embed vector, it is a list of floating point numbers. The length of the vector depends on the model listed in Embedding Guide.object/string
Object type, always "embed".{
"object": "embedding",
"embedding": [
0.0023064255,
-0.009327292,
.... (1536 floats total for ada-002)
-0.0028842222,
],
"index": 0
}
Modified at 2025-09-19 02:26:37