Embedded Object

Embeddings

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.

Related guide: Embeddings

Represents an embedding vector returned by the embedding endpoint.

index/integer

The index of the embedding in the list of embeddings.

embedding/array

The embedding vector, which is a list of floats. The length of the vector depends on the model listed in the embedding guide.

object/string

The object type, which is always "embedding".

{
"object": "embedding",
"embedding": [
0.0023064255,
-0.009327292,
.... (1536 floats total for ada-002)
-0.0028842222,
],
"index": 0
}