OpenAI embeddings

POST

https://ai.tikhub.io/v1/embeddings

OpenAI

Creates an embedding vector representing the input text. Embeddings are useful for search, clustering, recommendations, and other machine learning tasks.

How To Use

Simply specify the model name in your request payload. All other parameters remain the same across different models.

Supported Models

text-embedding-3-large

text-embedding-3-small

text-embedding-ada-002

Request

Authorization

Bearer Token

Provide your bearer token in the

Authorization

header when making requests to protected resources.

Example:

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

Body Params application/jsonRequired

Examples

text-embedding-ada-002text-embedding-3-largeMultiple inputs

{
    "input": "The food was delicious and the waiter...",
    "model": "text-embedding-ada-002",
    "encoding_format": "float"
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

cURL

text-embedding-ada-002text-embedding-3-largeMultiple inputs

curl --location 'https://ai.tikhub.io/v1/embeddings' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
    "input": "The food was delicious and the waiter...",
    "model": "text-embedding-ada-002",
    "encoding_format": "float"
}'

Responses

🟢200OK

application/json

Successful response

Bodyapplication/json

Example

{
    "object": "list",
    "data": [
        {
            "object": "embedding",
            "embedding": [
                0.0023064255,
                -0.009327292,
                -0.0028842222
            ],
            "index": 0
        }
    ],
    "model": "text-embedding-ada-002",
    "usage": {
        "prompt_tokens": 8,
        "total_tokens": 8
    }
}

🟠400Bad Request

🟠401Unauthorized

🟠429Too Many Requests

🔴500Internal Server Error

Modified at 2026-07-29 00:56:35

OpenAI response

OpenAI audio transcription