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  1. Embedding Vector Generation Interface (Embeddings)
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  1. Embedding Vector Generation Interface (Embeddings)

Create Embeddings

POST
/v1/embeddings
Obtain the vector representation of a given input, which can be easily utilized by machine learning models and algorithms.
Related Guide: Embeddings

Request

Header Params

Body Params application/json

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

Request Code Samples

Shell
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Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.modelless.co/v1/embeddings' \
--header 'Authorization: Bearer ' \
--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

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
  }
}
Modified at 2024-03-07 09:45:14
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