langchain_voyageai.embeddings.VoyageAIEmbeddings

class langchain_voyageai.embeddings.VoyageAIEmbeddings

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 if the input data cannot be parsed to form a valid model.

param batch_size: int [Required]

param model: str [Required]

param show_progress_bar: bool = False

param truncation: Optional[bool] = None

param voyage_api_key: SecretStr [Optional] (alias 'api_key')

Constraints

• type = string

• writeOnly = True

• format = password

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

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]

Asynchronous Embed query text.

Parameters

text (str) – Text to embed.

Returns

Embedding.

Return type

List[float]

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

Embed search docs.

Parameters

texts (List[str]) –

Return type

List[List[float]]

embed_query(text: str) → List[float]

Embed query text.

Parameters

text (str) –

Return type

List[float]