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Datarobot Create Genai Custom Model Embedding Validations

Tool to create and run validation tests for GenAI custom model embeddings. Use when you need to verify that a custom model deployment meets DataRobot's requirements for embedding generation before using it in production.

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Use Datarobot Create Genai Custom Model Embedding Validations

Pricing and limits

Pricing
Free
Unified payment
Not currently supported

Inputs

  • namestring
    Custom name for this validation (max 5000 characters). Defaults to 'Untitled' if not provided.
  • modelIdstring
    The ID of the model used in the deployment. If provided, helps identify which specific model version is being validated.
  • useCaseIdstring
    ID of the use case associated with this validation. Helps organize validations by business use case.
  • deploymentIdstring
    Required
    The ID of the custom model deployment to validate. Use DATAROBOT_LIST_DEPLOYMENTS to find available deployments.
  • promptColumnNamestring
    Required
    The name of the column the custom model uses for prompt text input. This column should contain the text data that will be embedded.
  • targetColumnNamestring
    Required
    The name of the column the custom model uses for prediction output. This column should contain the embedding vector output.
  • predictionTimeoutinteger
    Timeout in seconds for API prediction requests during validation (range: 1-600, default: 300).

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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