UnstructuredODTLoader#

class langchain_community.document_loaders.odt.UnstructuredODTLoader(file_path: str | Path, 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_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 | Path) – 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])
`alazy_load`()	A lazy loader for Documents.
`aload`()	Load data into Document objects.
`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 | Path, mode: str = 'single', **unstructured_kwargs: Any)[source]#

Parameters:

file_path (str | Path) – 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]

async aload() → list[Document]#

Load data into Document objects.

Return type:: list[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: 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 UnstructuredODTLoader