langchain_community.embeddings.cohere.CohereEmbeddings¶
class langchain_community.embeddings.cohere.CohereEmbeddings[source]¶
Bases: BaseModel, Embeddings
Cohere embedding models.
To use, you should have the cohere python package installed, and the
environment variable COHERE_API_KEY set with your API key or pass it
as a named parameter to the constructor.
Example
from langchain_community.embeddings import CohereEmbeddings
cohere = CohereEmbeddings(
    model="embed-english-light-v3.0",
    cohere_api_key="my-api-key"
)
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param async_client: Any = None¶
Cohere async client.
param client: Any = None¶
Cohere client.
param cohere_api_key: Optional[str] = None¶
param max_retries: Optional[int] = None¶
Maximum number of retries to make when generating.
param model: str = 'embed-english-v2.0'¶
Model name to use.
param request_timeout: Optional[float] = None¶
Timeout in seconds for the Cohere API request.
param truncate: Optional[str] = None¶
Truncate embeddings that are too long from start or end (“NONE”|”START”|”END”)
param user_agent: str = 'langchain'¶
Identifier for the application making the request.
async aembed(texts: List[str], *, input_type: Optional[str] = None) → List[List[float]][source]¶
async aembed_documents(texts: List[str]) → List[List[float]][source]¶
Async call out to Cohere’s embedding endpoint.
Parameters
texts – The list of texts to embed.