DropboxLoader

class langchain_community.document_loaders.dropbox.DropboxLoader

Bases: BaseLoader, BaseModel

Load files from Dropbox.

In addition to common files such as text and PDF files, it also supports Dropbox Paper files.

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 dropbox_access_token: str [Required]

Dropbox access token.

param dropbox_file_paths: List[str] | None = None

The file paths to load from.

param dropbox_folder_path: str | None = None

The folder path to load from.

param recursive: bool = False

Flag to indicate whether to load files recursively from subfolders.

async alazy_load() → AsyncIterator[Document]

A lazy loader for Documents.

Return type:

AsyncIterator[Document]

async aload() → list[Document]

Load data into Document objects.

Return type:

list[Document]

lazy_load() → Iterator[Document]

A lazy loader for Documents.

Return type:

Iterator[Document]

load() → List[Document]

Load documents.

Return type:

List[Document]

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 DropboxLoader

• Dropbox