OneDriveLoader#

class langchain_community.document_loaders.onedrive.OneDriveLoader[source]#

Load from Microsoft OneDrive.

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 auth_with_token: bool = False#: Whether to authenticate with a token or not. Defaults to False.

param chunk_size: int | str = 5242880#: Number of bytes to retrieve from each api call to the server. int or ‘auto’.

param drive_id: str [Required]#: The ID of the OneDrive drive to load data from.

param folder_path: str | None = None#: The path to the folder to load data from.

param object_ids: List[str] | None = None#: The IDs of the objects to load data from.

param recursive: bool = False#: Should the loader recursively load subfolders?

param settings: _O365Settings [Optional]#: Settings for the Office365 API client.

async alazy_load() → AsyncIterator[Document]#

A lazy loader for Documents.

async aload() → List[Document]#

Load data into Document objects.

lazy_load() → Iterator[Document][source]#

Load documents lazily. Use this when working at a large scale.

load() → List[Document]#

Load data into Document objects.

load_and_split(text_splitter: TextSplitter | None = None) → List[Document]#

Load Documents and split into chunks. Chunks are returned as Documents.

Do not override this method. It should be considered to be deprecated!

Parameters:: text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
Returns:: List of Documents.
Return type:: List[Document]

Examples using OneDriveLoader