AsyncEmbeddingService

class langchain_elasticsearch.embeddings.AsyncEmbeddingService

Methods

embed_documents(texts)	Generate embeddings for a list of documents.
embed_query(query)	Generate an embedding for a single query text.

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

Generate embeddings for a list of documents.

Parameters:

texts (List[str]) – A list of document strings to generate embeddings for.

Returns:

A list of embeddings, one for each document in the input.

Return type:

List[List[float]]

abstractmethod async embed_query(query: str) → List[float]

Generate an embedding for a single query text.

Parameters:

• text – The query text to generate an embedding for.

• query (str)

Returns:

The embedding for the input query text.

Return type:

List[float]