AutoEmbeddings

class langchain_mongodb.embeddings.AutoEmbeddings(model: str)

Methods

__init__(model)	MongoDB AutoEmbeddings
aembed_documents(texts)	Asynchronous Embed search docs.
aembed_query(text)	Asynchronous Embed query text.
embed_documents(texts)	Embed search docs.
embed_query(text)	Embed query text.

Parameters:

model (str)

__init__(model: str)

MongoDB AutoEmbeddings

AutoEmbedding enables MongoDB to automatically generate and manage embedding vectors. Since the embedding happens on the server, this class doesn’t implement embed_documents or embed_query and simply requires a model name. For supported models, see https://www.mongodb.com/docs/atlas/atlas-vector-search/crud-embeddings/create-embeddings-automatic/?interface=driver&language=python&deployment-type=self#supported-embedding-models

Parameters:

model (str)

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]) – List of text to embed.

Returns:

List of embeddings.

Return type:

list[list[float]]

embed_query(text: str) → list[float]

Embed query text.

Parameters:

text (str) – Text to embed.

Returns:

Embedding.

Return type:

list[float]