text: by Microsoft.This covers how to load Word documents into a document format that we can use downstream.Using Docx2txtâ€‹Load .docx using Docx2txt into a document.pip install docx2txtfrom langchain.document_loaders import Docx2txtLoaderloader = Docx2txtLoader("example_data/fake.docx")data = loader.load()data    [Document(page_content='Lorem ipsum dolor sit amet.', metadata={'source': 'example_data/fake.docx'})]Using Unstructuredâ€‹from langchain.document_loaders import UnstructuredWordDocumentLoaderloader = UnstructuredWordDocumentLoader("example_data/fake.docx")data = loader.load()data    [Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'fake.docx'}, lookup_index=0)]Retain Elementsâ€‹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 = UnstructuredWordDocumentLoader("example_data/fake.docx", mode="elements")data = loader.load()data[0]    Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'fake.docx', 'filename': 'fake.docx', 'category': 'Title'}, lookup_index=0)PreviousMicrosoft PowerPointNextModern TreasuryUsing Docx2txtUsing UnstructuredRetain ElementsCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.