This notebook provides a quick overview for getting started with UnstructuredXMLLoader document loader. The UnstructuredXMLLoader is used to load XML files. The loader works with .xml files. The page content will be the text extracted from the XML tags.
To access UnstructuredXMLLoader document loader you'll need to install the langchain-community integration package.
No credentials are needed to use the UnstructuredXMLLoader
To enable automated tracing of your model calls, set your LangSmith API key:
InstallationInstall langchain_community.
%pip install -qU langchain_community
Now we can instantiate our model object and load documents:
from langchain_community.document_loaders import UnstructuredXMLLoader
loader = UnstructuredXMLLoader(
"./example_data/factbook.xml",
)
docs = loader.load()
docs[0]
Document(metadata={'source': './example_data/factbook.xml'}, page_content='United States\n\nWashington, DC\n\nJoe Biden\n\nBaseball\n\nCanada\n\nOttawa\n\nJustin Trudeau\n\nHockey\n\nFrance\n\nParis\n\nEmmanuel Macron\n\nSoccer\n\nTrinidad & Tobado\n\nPort of Spain\n\nKeith Rowley\n\nTrack & Field')
{'source': './example_data/factbook.xml'}
page = []
for doc in loader.lazy_load():
page.append(doc)
if len(page) >= 10:
page = []
For detailed documentation of all __ModuleName__Loader features and configurations head to the API reference: https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.xml.UnstructuredXMLLoader.html
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