Microsoft Word#

This notebook shows how to load text from Microsoft word documents.

from langchain.document_loaders import UnstructuredDocxLoader
loader = UnstructuredDocxLoader('example_data/fake.docx')
data = loader.load()
data
[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'example_data/fake.docx'}, lookup_index=0)]

Retain Elements#

Under the hood, Unstructured creates different “elements” for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying mode="elements".

loader = UnstructuredDocxLoader('example_data/fake.docx', mode="elements")
data = loader.load()
data
[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'example_data/fake.docx'}, lookup_index=0)]