Create an embed

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

Related Guide: Embedding

Creates an embed vector representing the input text.

Provide your bearer token in the

Authorization

header when making requests to protected resources.

Example:

Authorization: Bearer ********************

curl --location --request POST '/v1/embeddings' \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data-raw '{ "model": "text-embedding-3-large", "input": "Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Meow Me }'

{ "object": "list", "data": [ { "object": "embedding", "embedding": [ 0.0023064255, -0.009327292, .... (1536 floats total for ada-002) -0.0028842222 ], "index": 0 } ], "model": "text-embedding-ada-002", "usage": { "prompt_tokens": 8, "total_tokens": 8 } }

Request

Responses