Evaluators that measure embedding distances.
Embedding Distance Metric.
Embedding distance evaluation chain.
Use embedding distances to score semantic difference between a prediction and reference.
Use embedding distances to score semantic difference between two predictions.
Examples:
chain = PairwiseEmbeddingDistanceEvalChain() result = chain.evaluate_string_pairs(prediction="Hello", prediction_b="Hi") print(result) {'score': 0.5}
