CohereEmbeddings#

class langchain_community.embeddings.cohere.CohereEmbeddings[source]#

Bases: BaseModel, Embeddings

Deprecated since version 0.0.30: Use :class:`~langchain_cohere.CohereEmbeddings` instead.

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][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

param async_client: Any = None#

Cohere async client.

param client: Any = None#

Cohere client.

param cohere_api_key: str | None = None#
param max_retries: int = 3#

Maximum number of retries to make when generating.

param model: str = 'embed-english-v2.0'#

Model name to use.

param request_timeout: float | None = None#

Timeout in seconds for the Cohere API request.

param truncate: str | None = 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: str | None = None) → List[List[float]][source]#
Parameters:

  • texts (List[str])

  • input_type (str | None)

Return type:

List[List[float]]

async aembed_documents(texts: List[str]) → List[List[float]][source]#

Async call out to Cohere’s embedding endpoint.

Parameters:

texts (List[str]) – The list of texts to embed.

Returns:

List of embeddings, one for each text.

Return type:

List[List[float]]

async aembed_query(text: str) → List[float][source]#

Async call out to Cohere’s embedding endpoint.

Parameters:

text (str) – The text to embed.

Returns:

Embeddings for the text.

Return type:

List[float]

aembed_with_retry(**kwargs: Any) → Any[source]#

Use tenacity to retry the embed call.

Parameters:

kwargs (Any)

Return type:

Any

embed(texts: List[str], *, input_type: str | None = None) → List[List[float]][source]#
Parameters:

  • texts (List[str])

  • input_type (str | None)

Return type:

List[List[float]]

embed_documents(texts: List[str]) → List[List[float]][source]#

Embed a list of document texts.

Parameters:

texts (List[str]) – The list of texts to embed.

Returns:

List of embeddings, one for each text.

Return type:

List[List[float]]

embed_query(text: str) → List[float][source]#

Call out to Cohere’s embedding endpoint.

Parameters:

text (str) – The text to embed.

Returns:

Embeddings for the text.

Return type:

List[float]

embed_with_retry(**kwargs: Any) → Any[source]#

Use tenacity to retry the embed call.

Parameters:

kwargs (Any)

Return type:

Any

Examples using CohereEmbeddings

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