Function createDocumentRelevancyEvaluator

createDocumentRelevancyEvaluator(
args: DocumentRelevancyEvaluatorArgs,
): Evaluator<DocumentRelevancyExample>
Creates a document relevancy evaluator function.

This function returns an evaluator that determines whether a given document text is relevant to a provided input question. The evaluator uses a classification model and a prompt template to make its determination.
Parameters
- args: DocumentRelevancyEvaluatorArgs
  The arguments for creating the document relevancy evaluator.
  - Optionalchoices?: ClassificationChoicesMap
  - model: LanguageModel
  - Optionalname?: string
  - OptionaloptimizationDirection?: OptimizationDirection
  - OptionalpromptTemplate?: string
  - Optionaltelemetry?: { isEnabled?: boolean; tracer?: Tracer }
    OptionalisEnabled?: boolean
    Whether OpenTelemetry is enabled on the call. Defaults to true for visibility into the evals calls.
    
    Default
    true
    
    Optionaltracer?: Tracer
    The tracer to use for the call. If not provided, the traces will get picked up by the global tracer.
Returns Evaluator<DocumentRelevancyExample>
An evaluator function that takes a DocumentRelevancyExample and returns a classification result indicating whether the document is relevant to the input question.
Example
```
const evaluator = createDocumentRelevancyEvaluator({ model: openai("gpt-4o-mini") });
const result = await evaluator.evaluate({
  input: "What is the capital of France?",
  documentText: "Paris is the capital and most populous city of France.",
});
console.log(result.label); // "relevant" or "unrelated"
```
- Defined in llm/createDocumentRelevancyEvaluator.ts:53