Reference: Embeddings | Azure AI Studio

Article
06/13/2024

Important

Some of the features described in this article might only be available in preview. This preview is provided without a service-level agreement, and we don't recommend it for production workloads. Certain features might not be supported or might have constrained capabilities. For more information, see Supplemental Terms of Use for Microsoft Azure Previews.

Creates an embedding vector representing the input text.

POST /embeddings?api-version=2024-04-01-preview

URI Parameters

Name	In	Required	Type	Description
`api-version`	query	True	string	The version of the API in the format "YYYY-MM-DD" or "YYYY-MM-DD-preview".

Request Header

Name	Required	Type	Description
extra-parameters		string	The behavior of the API when extra parameters are indicated in the payload. Using `pass-through` makes the API to pass the parameter to the underlying model. Use this value when you want to pass parameters that you know the underlying model can support. Using `ignore` makes the API to drop any unsupported parameter. Use this value when you need to use the same payload across different models, but one of the extra parameters may make a model to error out if not supported. Using `error` makes the API to reject any extra parameter in the payload. Only parameters specified in this API can be indicated, or a 400 error is returned.
azureml-model-deployment		string	Name of the deployment you want to route the request to. Supported for endpoints that support multiple deployments.

Request Body

Name	Required	Type	Description
input	True	string[]	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.
dimensions		integer	The number of dimensions the resulting output embeddings should have. Returns a 422 error if the model doesn't support the value or parameter.
encoding_format		EmbeddingEncodingFormat	The format to return the embeddings in. Either base64, float, int8, uint8, binary, or ubinary. Returns a 422 error if the model doesn't support the value or parameter.
input_type		EmbeddingInputType	The type of the input. Either `text`, `query`, or `document`. Returns a 422 error if the model doesn't support the value or parameter.

Responses

Name	Type	Description
200 OK	CreateEmbeddingResponse	OK
401 Unauthorized	UnauthorizedError	Access token is missing or invalid Headers x-ms-error-code: string
404 Not Found	NotFoundError	Modality not supported by the model. Check the documentation of the model to see which routes are available. Headers x-ms-error-code: string
422 Unprocessable Entity	UnprocessableContentError	The request contains unprocessable content Headers x-ms-error-code: string
429 Too Many Requests	TooManyRequestsError	You have hit your assigned rate limit and your request need to be paced. Headers x-ms-error-code: string
Other Status Codes	ContentFilterError	Bad request Headers x-ms-error-code: string

Security

Authorization

The token with the Bearer: prefix, e.g. Bearer abcde12345

Type: apiKey In: header

AADToken

Azure Active Directory OAuth2 authentication

Type: oauth2 Flow: application Token URL: https://login.microsoftonline.com/common/oauth2/v2.0/token

Examples

Creates an embedding vector representing the input text

Sample Request

POST /embeddings?api-version=2024-04-01-preview

{
  "input": [
    "This is a very good text"
  ],
  "input_type": "text",
  "encoding_format": "float",
  "dimensions": 1024
}

Sample Response

Status code: 200

{
  "data": [
    {
      "index": 0,
      "object": "embedding",
      "embedding": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ]
    }
  ],
  "object": "list",
  "model": "BERT",
  "usage": {
    "prompt_tokens": 15,
    "total_tokens": 15
  }
}

Definitions

Name	Description
ContentFilterError	The API call fails when the prompt triggers a content filter as configured. Modify the prompt and try again.
CreateEmbeddingRequest	Request for creating embeddings.
CreateEmbeddingResponse	Response from an embeddings request.
Detail	Details of the errors.
Embedding	Represents the embedding object generated.
EmbeddingEncodingFormat	The format to return the embeddings in. Either base64, float, int8, uint8, binary, or ubinary. Returns a 422 error if the model doesn't support the value or parameter.
EmbeddingInputType	The type of the input. Either `text`, `query`, or `document`. Returns a 422 error if the model doesn't support the value or parameter.
EmbeddingObject	The object type, which is always "embedding".
ListObject	The object type, which is always "list".
NotFoundError	The route is not valid for the deployed model.
TooManyRequestsError	You have hit your assigned rate limit and your requests need to be paced.
UnauthorizedError	Authentication is missing or invalid.
UnprocessableContentError	The request contains unprocessable content. The error is returned when the payload indicated is valid according to this specification. However, some of the instructions indicated in the payload are not supported by the underlying model. Use the `details` section to understand the offending parameter.
Usage	The usage information for the request.

ContentFilterError

The API call fails when the prompt triggers a content filter as configured. Modify the prompt and try again.

Name	Type	Description
code	string	The error code.
error	string	The error description.
message	string	The error message.
param	string	The parameter that triggered the content filter.
status	integer	The HTTP status code.

CreateEmbeddingRequest

Request for creating embeddings.

Name	Required	Type	Description
input	True	string[]	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.
dimensions		integer	The number of dimensions the resulting output embeddings should have. Returns a 422 error if the model doesn't support the value or parameter.
encoding_format		EmbeddingEncodingFormat	The format to return the embeddings in. Either base64, float, int8, uint8, binary, or ubinary. Returns a 422 error if the model doesn't support the value or parameter.
input_type		EmbeddingInputType	The type of the input. Either `text`, `query`, or `document`. Returns a 422 error if the model doesn't support the value or parameter.

CreateEmbeddingResponse

Response from an embeddings request.

Name	Type	Description
data	Embedding[]	The list of embeddings generated by the model.
model	string	The name of the model used to generate the embedding.
object	ListObject	The object type, which is always "list".
usage	Usage	The usage information for the request.

Detail

Details for the UnprocessableContentError error.

Name	Type	Description
loc	string[]	The parameter causing the issue
value	string	The value passed to the parameter causing issues.

Embedding

Represents the embedding generated.

Name	Type	Description
embedding	[]	The embedding vector. The length of vector depends on the model used and the type depends on the `encoding_format` used.
index	integer	The index of the embedding in the list of embeddings.
object	EmbeddingObject	The object type, which is always "embedding".

EmbeddingEncodingFormat

The format to return the embeddings in. Either base64, float, int8, uint8, binary, or ubinary. Returns a 422 error if the model doesn't support the value or parameter.

Name	Type	Description
base64	string
binary	string
float	string
int8	string
ubinary	string
uint8	string

EmbeddingInputType

The type of the input. Either text, query, or document. Returns a 422 error if the model doesn't support the value or parameter.

Name	Type	Description
document	string	Indicates the input represents a document that is stored in a vector database.
query	string	Indicates the input represents a search queries to find the most relevant documents in your vector database.
text	string	Indicates the input is a general text input.

EmbeddingObject

Name	Type	Description
embedding	string

ListObject

The object type, which is always "list".

Name	Type	Description
list	string

NotFoundError

Name	Type	Description
error	string	The error description.
message	string	The error message.
status	integer	The HTTP status code.

TooManyRequestsError

Name	Type	Description
error	string	The error description.
message	string	The error message.
status	integer	The HTTP status code.

UnauthorizedError

Name	Type	Description
error	string	The error description.
message	string	The error message.
status	integer	The HTTP status code.

UnprocessableContentError

The request contains unprocessable content. The error is returned when the payload indicated is valid according to this specification. However, some of the instructions indicated in the payload are not supported by the underlying model. Use the details section to understand the offending parameter.

Name	Type	Description
code	string	The error code.
detail	Detail
error	string	The error description.
message	string	The error message.
status	integer	The HTTP status code.

Usage

The usage information for the request.

Name	Type	Description
prompt_tokens	integer	The number of tokens used by the prompt.
total_tokens	integer	The total number of tokens used by the request.

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