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 return the output
Return the string type key uniquely identifying this class of chain.
Evaluate the output string pairs.
Optional
config: anyA dictionary containing the preference, scores, and/or other information.
Protected
_Evaluate the output string pairs.
Optional
config: anyA dictionary containing the preference, scores, and/or other information.
Invoke the chain with the provided input and returns the output.
Input values for the chain run.
Optional
options: anyPromise 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.
Use embedding distances to score semantic difference between two predictions.