Embedding 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.

Parameter	Type	Description
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 as listed in the Embeddings 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
}

Embedding Object

Embeddings#

Embedding Object#

Embeddings

Embedding Object