text: Unstructured.IO extracts clean text from raw source documents like
  PDFs and Word documents.
  This page covers how to use the unstructured
  ecosystem within LangChain.Installation and Setupâ€‹If you are using a loader that runs locally, use the following steps to get unstructured and
  its dependencies running locally.Install the Python SDK with pip install "unstructured[local-inference]"Install the following system dependencies if they are not already available on your system.
  Depending on what document types you're parsing, you may not need all of these.libmagic-dev (filetype detection)poppler-utils (images and PDFs)tesseract-ocr(images and PDFs)libreoffice (MS Office docs)pandoc (EPUBs)If you want to get up and running with less set up, you can
  simply run pip install unstructured and use UnstructuredAPIFileLoader or
  UnstructuredAPIFileIOLoader. That will process your document using the hosted Unstructured API.The Unstructured API requires API keys to make requests.
  You can generate a free API key here and start using it today!
  Checkout the README here here to get started making API calls.
  We'd love to hear your feedback, let us know how it goes in our community slack.
  And stay tuned for improvements to both quality and performance!
  Check out the instructions
  here if you'd like to self-host the Unstructured API or run it locally.Wrappersâ€‹Data Loadersâ€‹The primary unstructured wrappers within langchain are data loaders. The following
  shows how to use the most basic unstructured data loader. There are other file-specific