Embeddings

Get the vector representation of a given input, which can be easily used by machine learning models and algorithms.

Related guide: Embeddings

Embedding Object

Represents the 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 floating-point numbers. The length of the vector depends on the model listed in the Embedding Guide.

object/string
The object type, always "embedding".

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

Embeddings

Embeddings#

Embedding Object#

Embeddings

Embedding Object