VoyageAIEmbeddings#

class langchain_voyageai.embeddings.VoyageAIEmbeddings[source]#

Bases: BaseModel, Embeddings

VoyageAIEmbeddings embedding model.

Example

from langchain_voyageai import VoyageAIEmbeddings

model = VoyageAIEmbeddings()

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 batch_size: int [Required]#
param model: str [Required]#
param show_progress_bar: bool = False#
param truncation: bool | None = None#
param voyage_api_key: SecretStr [Optional] (alias 'api_key')#
async aembed_documents(texts: List[str]) List[List[float]][source]#

Asynchronous Embed search docs.

Parameters:

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

Returns:

List of embeddings.

Return type:

List[List[float]]

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

Asynchronous Embed query text.

Parameters:

text (str) – Text to embed.

Returns:

Embedding.

Return type:

List[float]

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

Embed search docs.

Parameters:

texts (List[str])

Return type:

List[List[float]]

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

Embed query text.

Parameters:

text (str)

Return type:

List[float]