semantic_router.encoders.cohere

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docs2cohere_embed_input

def docs2cohere_embed_input(docs: list[str]) -> list[dict[str, Any]]

• docs (list[str]): The texts to embed.

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CohereEncoder Objects

class CohereEncoder(DenseEncoder, AsymmetricDenseMixin)

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__init__

def __init__(name: str | None = None,
             cohere_api_key: str | None = None,
             score_threshold: float = 0.3)

• name (str): The name of the embedding model to use such as “embed-english-v3.0” or “embed-multilingual-v3.0”.
• cohere_api_key (str): The API key for the Cohere client, can also be set via the COHERE_API_KEY environment variable.
• score_threshold (float): The threshold for the score of the embedding.

• ValueError: If no API key is provided or found in the environment.

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__call__

def __call__(docs: list[Any], **kwargs) -> list[list[float]]

• docs (list[Any]): List of text documents to encode.

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acall

async def acall(docs: list[Any], **kwargs) -> list[list[float]]

• docs (list[Any]): List of text documents to encode.