langchain_community.document_loaders.rtf.UnstructuredRTFLoader¶

class langchain_community.document_loaders.rtf.UnstructuredRTFLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶

Load RTF files using Unstructured.

You can run the loader in one of two modes: “single” and “elements”. If you use “single” mode, the document will be returned as a single langchain Document object. If you use “elements” mode, the unstructured library will split the document into elements such as Title and NarrativeText. You can pass in additional unstructured kwargs after mode to apply different unstructured settings.

Examples

from langchain_community.document_loaders import UnstructuredRTFLoader

loader = UnstructuredRTFLoader(

“example.rtf”, mode=”elements”, strategy=”fast”,

) docs = loader.load()

References

https://unstructured-io.github.io/unstructured/bricks.html#partition-rtf

Initialize with a file path.

Parameters

  • file_path (str) – The path to the file to load.

  • mode (str) – The mode to use for partitioning. See unstructured for details. Defaults to “single”.

  • **unstructured_kwargs (Any) – Additional keyword arguments to pass to unstructured.

Methods

__init__(file_path[, mode])

Initialize with a file path.

alazy_load()

A lazy loader for Documents.

lazy_load()

Load file.

load()

Load data into Document objects.

load_and_split([text_splitter])

Load Documents and split into chunks.
__init__(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶

Initialize with a file path.

Parameters

  • file_path (str) – The path to the file to load.

  • mode (str) – The mode to use for partitioning. See unstructured for details. Defaults to “single”.

  • **unstructured_kwargs (Any) – Additional keyword arguments to pass to unstructured.

async alazy_load() → AsyncIterator[Document]¶

A lazy loader for Documents.

Return type

AsyncIterator[Document]

lazy_load() → Iterator[Document]¶

Load file.

Return type

Iterator[Document]

load() → List[Document]¶

Load data into Document objects.

Return type

List[Document]

load_and_split(text_splitter: Optional[TextSplitter] = 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]