langchain.document_loaders.odt.UnstructuredODTLoader

class langchain.document_loaders.odt.UnstructuredODTLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]

Load OpenOffice ODT 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.document_loaders import UnstructuredODTLoader

loader = UnstructuredODTLoader(

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

) docs = loader.load()

References

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

Parameters
  • file_path – The path to the file to load.

  • mode – The mode to use when loading the file. Can be one of “single”, “multi”, or “all”. Default is “single”.

  • **unstructured_kwargs – Any kwargs to pass to the unstructured.

Methods

__init__(file_path[, mode])

param file_path

The path to the file to load.

lazy_load()

A lazy loader for Documents.

load()

Load file.

load_and_split([text_splitter])

Load Documents and split into chunks.

__init__(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]
Parameters
  • file_path – The path to the file to load.

  • mode – The mode to use when loading the file. Can be one of “single”, “multi”, or “all”. Default is “single”.

  • **unstructured_kwargs – Any kwargs to pass to the unstructured.

lazy_load() Iterator[Document]

A lazy loader for Documents.

load() List[Document]

Load file.

load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document]

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

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Examples using UnstructuredODTLoader