Embedding
    • PDF

    Embedding

    • PDF

    Article summary

    Available in Classic and VPC

    Perform vectorization tasks to represent text as numbers.

    Request

    The following describes the request format for the endpoint. The request format is as follows:

    MethodURI
    POST/testapp/v1/api-tools/embedding/{modelName}/{appId}

    Request headers

    The following describes the request headers.

    FieldRequiredDescription
    X-NCP-CLOVASTUDIO-API-KEYRequiredAPI key issued when creating the test app or service app
    X-NCP-APIGW-API-KEYRequiredAPI Gateway key issued when creating the test app or service app
    X-NCP-CLOVASTUDIO-REQUEST-IDOptionalRequest ID
    Content-TypeRequiredRequest data format
    • application/json

    Request path parameters

    The following describes the request path parameters.

    FieldTypeRequiredDescription
    modelNameEnumRequiredModel for performing embedding
    • clir-emb-dolphin | clir-sts-dolphin
      • clir-emb-dolphin: highly generalizable model that can be applied to any domain
      • clir-sts-dolphin: Model specialized for precisely measuring the meaning of sentences
    appIdStringRequiredID of the test app or service app

    Request body

    The following describes the body.

    FieldTypeRequiredDescription
    textStringRequiredText (tokens) to perform embedding
    • 1 - 500

    Request example

    The following is a sample request.

    curl --location --request POST 'https://clovastudio.apigw.ntruss.com/testapp/v1/api-tools/embedding/{modelName}/{appId}' \
    --header 'X-NCP-CLOVASTUDIO-API-KEY: {CLOVA Studio API Key}' \
    --header 'X-NCP-APIGW-API-KEY: {API Gateway API Key}' \
    --header 'X-NCP-CLOVASTUDIO-REQUEST-ID: {Request ID}' \
    --header 'Content-Type: application/json' \
    --data '{
              "text": "How's the weather today?"
    }'
    

    Response

    The following describes the response format.

    Response body

    The following describes the response body.

    FieldTypeRequiredDescription
    embeddingArray-Embedding performance results
    • Composed of a list of 1024 floats
    inputTokensInteger-Number of tokens in the text performing embedding

    Response example

    The following is a sample example.

    Succeeded

    The following is a sample response upon a successful call.

    {
        "status": {
          "code": "20000",
            "message": "OK"
          },
        "result": {
          "embedding": [ -0.3861295, -0.7903874, ... , 0.2994273, -0.7736456, -0.24933687 ]
          "inputTokens": 4
        }
      }
    

    Failure

    The following is a sample response upon a failed call.


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