forked from Archives/langchain
29 lines
1.2 KiB
ReStructuredText
29 lines
1.2 KiB
ReStructuredText
Document Loaders
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==========================
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Combining language models with your own text data is a powerful way to differentiate them.
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The first step in doing this is to load the data into "documents" - a fancy way of say some pieces of text.
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This module is aimed at making this easy.
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A primary driver of a lot of this is the `Unstructured <https://github.com/Unstructured-IO/unstructured>`_ python package.
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This package is a great way to transform all types of files - text, powerpoint, images, html, pdf, etc - into text data.
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For detailed instructions on how to get set up with Unstructured, see installation guidelines `here <https://github.com/Unstructured-IO/unstructured#coffee-getting-started>`_.
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The following sections of documentation are provided:
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- `Key Concepts <./document_loaders/key_concepts.html>`_: A conceptual guide going over the various concepts related to loading documents.
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- `How-To Guides <./document_loaders/how_to_guides.html>`_: A collection of how-to guides. These highlight different types of loaders.
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.. toctree::
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:maxdepth: 1
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:caption: Document Loaders
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:name: Document Loaders
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:hidden:
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./document_loaders/key_concepts.md
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./document_loaders/how_to_guides.rst |