Docs
  1. ChatGPT(Embeddings)
Docs
  • Introduction
  • Quick Start Guide
  • Make a request
  • Chat Models
    • ChatGpt
      • ChatGPT (Audio)
        • Create a voice
        • Create a transcript
        • Create translation
      • ChatGPT (Chat)
        • Chat completion object
        • Create chat completion (streaming)
        • Create chat completion (non-streaming)
        • Create chat image recognition (streaming)
        • Create chat image recognition (streaming) base64
        • Create chat image recognition (non-streaming)
        • Function calling
        • N choices
        • Create chat function call (only non-streaming)
        • Create structured output
      • ChatGPT (Completions)
        • Completion object
        • Creation completed
      • ChatGPT(Embeddings)
        • Embedded Object
        • Create embed
          POST
    • Anthropic Claude
      • Create chat completion (streaming)
      • Create chat completion (non-streaming)
      • Create chat image recognition (streaming)
      • Create chat image recognition (non-streaming)
    • Gemini
      • Gemini Image creation interface (gemini-2.0-flash-exp-image-generation)
      • Chat interface
      • Image recognition interface
  • Image Models
    • MJ
      • Submit Imagine task (mj_imagine)
      • Submit Blend task (mj_blend)
      • Submit Describe task (mj_describe)
      • Submit Change task (mj_variation, mj_upscale,mj_reroll)
      • Query task status based on task ID
    • Ideogram
      • Generate with Ideogram 3.0
      • Edit with Ideogram 3.0
      • Remix with Ideogram 3.0
    • Kling Image
      • Submit Image Generation
      • Get Image by Task ID
      • Submit Kolors Virtual Try On
      • Get Kolors Virtual Try On by Task ID
    • DALL·E 3
      POST
    • Flux (OpenAI dall-e-3 format)
      POST
  • Video Models
    • Kling Video
      • Create Video by Text
      • Get Video by Task ID(text2video)
      • Create Video by Image
      • Get Video by Task ID(image2video)
    • Runway ML Video
      • Create Video by Runway
      • Get Video by Task ID
    • Luma Video
      • Create Video by Luma
      • Get Video by Task ID
    • Pika Video
      • Create Video by Pika
      • Get Video by Task ID
  • Music Model - Suno
    • Illustrate
    • Parameter
    • Task submission
      • Generate songs (inspiration, customization, continuation)
      • Generate lyrics
    • Query interface
      • Query a single task
  • Python Samples
    • python openai official library (using AutoGPT, langchain, etc.)
    • Python uses speech to text
    • Python uses text to speech
    • Python uses Embeddings
    • python calls DALL·E
    • python simple call openai function-calling demo
    • python langchain
    • python llama_index
    • Python uses gpt-4o to identify pictures-local pictures
    • python library streaming output
    • Python uses gpt-4o to identify images
  • Plug-in/software usage tutorials
    • Setting HTTP for Make.com with Yescale
    • Sample Code for gpt-4o-audio/gpt-4o-mini-audio
  • Help Center
    • HTTP status codes
  1. ChatGPT(Embeddings)

Create embed

POST
/v1/embeddings
Gets a vector representation of a given input that can be easily used by machine learning models and algorithms.
Related guide: Embedding
Creates an embedding vector representing the input text.

Request

Header Params
Authorization
string 
optional
Example:
Bearer {{YOUR_API_KEY}}
Body Params application/json
model
string 
required
The ID of the model to use. You can use the List models API to view all available models, or refer to our model overview for their descriptions.
input
string 
required
Enter text to get embeddings, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or an array of token arrays. The length of each input must not exceed 8192 tokens.
Example
{
  "model": "text-embedding-ada-002",
  "input": "The food was delicious and the waiter..."
}

Request samples

Shell
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Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST '/v1/embeddings' \
--header 'Authorization: Bearer {{YOUR_API_KEY}}' \
--header 'Content-Type: application/json' \
--data-raw '{
  "model": "text-embedding-ada-002",
  "input": "The food was delicious and the waiter..."
}'

Responses

🟢200Create embeddings
application/json
Body
object
string 
required
data
array [object {3}] 
required
object
string 
optional
embedding
array[number]
optional
index
integer 
optional
model
string 
required
usage
object 
required
prompt_tokens
integer 
required
total_tokens
integer 
required
Example
{
  "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
  }
}
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Embedded Object
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Create chat completion (streaming)
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