langchain_community.document_loaders.odt.UnstructuredODTLoader

class langchain_community.document_loaders.odt.UnstructuredODTLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)

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_community.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 (str) – The path to the file to load.

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

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

Methods

__init__(file_path[, mode])	param file_path The path to the file to load.
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)

Parameters

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

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

• **unstructured_kwargs (Any) – Any kwargs to pass to the 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]

Examples using UnstructuredODTLoader

• Open Document Format (ODT)