langchain/docs/modules/indexes/document_loaders.rst

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Document Loaders
==========================
.. note::
`Conceptual Guide <https://docs.langchain.com/docs/components/indexing/document-loaders>`_
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Combining language models with your own text data is a powerful way to differentiate them.
The first step in doing this is to load the data into "documents" - a fancy way of say some pieces of text.
This module is aimed at making this easy.
A primary driver of a lot of this is the `Unstructured <https://github.com/Unstructured-IO/unstructured>`_ python package.
This package is a great way to transform all types of files - text, powerpoint, images, html, pdf, etc - into text data.
For detailed instructions on how to get set up with Unstructured, see installation guidelines `here <https://github.com/Unstructured-IO/unstructured#coffee-getting-started>`_.
The following document loaders are provided:
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.. toctree::
:maxdepth: 1
:glob:
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./document_loaders/examples/*