Create Embedding

Options

Body

Request body which must comply to the following JSON Schema:

{
  "required" : [ "input", "model" ],
  "type" : "object",
  "properties" : {
    "input" : {
      "description" : "Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.\n",
      "example" : "The quick brown fox jumped over the lazy dog",
      "oneOf" : [ {
        "title" : "string",
        "type" : "string",
        "description" : "The string that will be turned into an embedding.",
        "example" : "This is a test.",
        "default" : ""
      }, {
        "title" : "array",
        "maxItems" : 2048,
        "minItems" : 1,
        "type" : "array",
        "description" : "The array of strings that will be turned into an embedding.",
        "items" : {
          "type" : "string",
          "example" : "['This is a test.']",
          "default" : ""
        }
      }, {
        "title" : "array",
        "maxItems" : 2048,
        "minItems" : 1,
        "type" : "array",
        "description" : "The array of integers that will be turned into an embedding.",
        "example" : "[1212, 318, 257, 1332, 13]",
        "items" : {
          "type" : "integer"
        }
      }, {
        "title" : "array",
        "maxItems" : 2048,
        "minItems" : 1,
        "type" : "array",
        "description" : "The array of arrays containing integers that will be turned into an embedding.",
        "example" : "[[1212, 318, 257, 1332, 13]]",
        "items" : {
          "minItems" : 1,
          "type" : "array",
          "items" : {
            "type" : "integer"
          }
        }
      } ],
      "x-oaiExpandable" : true
    },
    "model" : {
      "description" : "model_description",
      "example" : "text-embedding-3-small",
      "anyOf" : [ {
        "type" : "string"
      }, {
        "type" : "string",
        "enum" : [ "text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large" ]
      } ],
      "x-oaiTypeLabel" : "string"
    },
    "encoding_format" : {
      "type" : "string",
      "description" : "The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).",
      "example" : "float",
      "default" : "float",
      "enum" : [ "float", "base64" ]
    },
    "dimensions" : {
      "minimum" : 1,
      "type" : "integer",
      "description" : "The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.\n"
    }
  },
  "additionalProperties" : false
}

Result Format

Specify how the response should be mapped to the table output. The following formats are available:

Raw Response: Returns the raw response in a single row with the following columns:

• body: Response body
• status: HTTP status code

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