langchain_community.document_loaders.odt
.UnstructuredODTLoader¶
- class langchain_community.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_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 – 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.
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.
- 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.