The distance metric to use for comparing the embeddings.
Optional embeddingThe embedding objects to vectorize the outputs.
Optional evaluationThe name of the evaluation.
Optional memoryOptional skipOptional skipRun the core logic of this chain and add to output if desired.
Wraps _call and handles memory.
Optional config: BaseCallbackConfig | CallbacksOptional tags: string[]Check if the evaluation arguments are valid.
Optional reference: stringThe reference label.
Optional input: stringThe input string.
If the evaluator requires an input string but none is provided, or if the evaluator requires a reference label but none is provided.
Invoke the chain with the provided input and returns the output.
Input values for the chain run.
Optional config: BaseCallbackConfigOptional configuration for the Runnable.
Promise that resolves with the output of the chain run.
Return a json-like object representing this chain.
Static deserializeLoad a chain from a json-like object describing it.
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Use embedding distances to score semantic difference between two predictions.