text-embedding-3-small

This documentation is valid for the following list of our models:

• text-embedding-3-small

Model Overview

An efficient and compact embedding model designed to enhance performance over its predecessor, text-embedding-ada-002. It transforms text into numerical representations that can be easily processed by machine learning models.

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API Schema

post

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Body

application/json

modelundefined · enumRequiredPossible values:

inputany ofRequired

Input text to embed, encoded as a string or array of tokens.

string · min: 1Optional

or

string[] · min: 1Optional

encoding_formatstring · enum | nullableOptional

The format in which to return the embeddings.

Default: floatPossible values:

dimensionsnumber | nullableOptional

The number of dimensions the resulting output embeddings should have.

Responses

201Success

post

/v1/embeddings

HTTPcURLJavaScriptPython

POST /v1/embeddings HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer YOUR_SECRET_TOKEN
Content-Type: application/json
Accept: */*
Content-Length: 90

{
  "model": "text-embedding-3-small",
  "input": "text",
  "encoding_format": "float",
  "dimensions": 1
}

201Success

No content