langchain.evaluation.embedding_distance.base.EmbeddingDistance

class langchain.evaluation.embedding_distance.base.EmbeddingDistance(value)

Embedding Distance Metric.

COSINE

Cosine distance metric.

EUCLIDEAN

Euclidean distance metric.

MANHATTAN

Manhattan distance metric.

CHEBYSHEV

Chebyshev distance metric.

HAMMING

Hamming distance metric.

COSINE = 'cosine'

EUCLIDEAN = 'euclidean'

MANHATTAN = 'manhattan'

CHEBYSHEV = 'chebyshev'

HAMMING = 'hamming'

Examples using EmbeddingDistance

• You can load by enum or by raw python string

• pairwise_embedding_distance.md