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Scorer
 This node assigns scores to an item based on custom criteria. You need to define the criteria in the scoring criteria field.

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Node Inputs

  1. Item for Scoring: The text to be scored
    • Type: Text
  2. Scoring Criteria: The criteria which the text will be scored
    • Type: Text
  3. Additional Context: The additional information or instructions for the AI when doing the scoring
    • Type: Text

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Node Parameters

On the face of the node:
  1. Include Justification: When this parameter is turned on, the justification output field for why the score was given will be available.
In the gear:
  1. Provider: Provider of the AI model you want to use. The default provider is OpenAI.
  2. Model: Model name of the AI model you want to use. The default model is gpt-4o.

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Node Outputs

  1. Score: The score of the text based on the criteria
    • Type: Text
    • Example usage: {{scorer_0.score}}
  2. Justification: The justification given by the AI for selecting the score (if include justification is switched on)
    • Type: Text
    • Example usage: {{scorer_0.justification}}

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Considerations

  • Define the bounds of the score in the scoring criteria, specifically the upwards and lower bounds. Define what criteria warrants a high vs low score.

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Example

The below example is a pipeline that grades text based on grammar. The scoring criteria stipulates that a score of 1 means the text has bad grammar and a score of 10 means good grammar.
  • Text Node: Text for grading.
  • Scorer Node: Provide the text and specify the criteria for scoring.
    • Item for scoring: {{text_0.text}}
  • Output Node: Display the score from the Scorer Node.
    • Output: {{scorer_0.score}}
Scorer Example