Gets a vector representation of a given input that can be easily used by machine learning models and algorithms.Represents the embedding vector returned by the embedding endpoint.The index embedded in the embedded list.Embedding vector, which is a list of floating point numbers. The length of the vector depends on the model listed in the Embedding Guidelines.object/string
Object type, always "embedded".{
"object": "embedding",
"embedding": [
0.0023064255,
-0.009327292,
.... (1536 floats total for ada-002)
-0.0028842222,
],
"index": 0
}
Modified at 2025-02-19 11:50:06
