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Unstructured Core Library
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=========================
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2022-06-29 14:35:19 -04:00
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The ``unstructured`` library is designed to help preprocess structure unstructured text documents
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2023-08-28 14:05:48 +02:00
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for use in downstream machine learning tasks. Examples of documents that can be processed
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using the ``unstructured`` library include PDFs, XML and HTML documents.
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Library Documentation
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---------------------
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:doc:`installing`
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2023-02-27 18:11:49 -05:00
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Instructions on how to install the ``unstructured`` library on your system.
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2023-07-14 14:28:57 -04:00
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:doc:`api`
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Access all the power of ``unstructured`` through the ``unstructured-api`` or learn to host it locally.
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2023-11-02 10:43:26 -04:00
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:doc:`core`
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Learn more about the core partitioning, chunking, cleaning, and staging functionality within the
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Unstructured library.
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2023-11-02 16:40:35 -04:00
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:doc:`ingest/index`
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Connect to your favorite data storage platforms for an effortless batch processing of your files.
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:doc:`metadata`
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Learn more about how metadata is tracked in the ``unstructured`` library.
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:doc:`examples`
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Examples of other types of workflows within the ``unstructured`` package.
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2023-03-17 20:11:38 +01:00
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:doc:`integrations`
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We make it easy for you to connect your output with other popular ML services.
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2023-09-09 18:54:01 -07:00
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:doc:`best_practices`
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Learn best practices to optimize document information extraction using ``unstructured`` library.
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.. Hidden TOCs
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.. toctree::
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:caption: Documentation
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:maxdepth: 2
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:hidden:
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2023-08-21 10:27:32 -07:00
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introduction
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2022-06-29 14:35:19 -04:00
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installing
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2023-07-14 14:28:57 -04:00
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api
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2023-11-02 10:43:26 -04:00
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core
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2023-11-02 16:40:35 -04:00
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ingest/index
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2023-06-16 10:10:56 -04:00
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metadata
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2022-06-29 14:35:19 -04:00
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examples
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2023-03-17 20:11:38 +01:00
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integrations
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2023-09-15 18:13:39 -04:00
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best_practices
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