CohereEmbeddings

class langchain_community.embeddings.cohere.CohereEmbeddings

Bases: BaseModel, Embeddings

Deprecated since version 0.0.30: Use 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 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: 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]]

Parameters:

• texts (List[str]) –

• input_type (str | None) –

Return type:

List[List[float]]

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

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]

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

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]]

Parameters:

• texts (List[str]) –

• input_type (str | None) –

Return type:

List[List[float]]

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

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]

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

Use tenacity to retry the embed call.

Parameters:

kwargs (Any) –

Return type:

Any

Examples using CohereEmbeddings

• Cohere reranker