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To test: > cd docs && make html Change logs: * Examples are reorganized to have its own page * Removed two old examples, ie. "file-utils" & "sentiment analysis". * Added two examples: "RAG with Unstructured, LangChain, and ChromaDB" & "Multi-Files Processing with S3 Connector and API" * Reorganized and added detailed API documentation: (i) usage, (ii) SDKs, (iii) Azure Marketplace, (iv) AWS Marketplace, (v) parameters and validation errors
52 lines
1.4 KiB
ReStructuredText
52 lines
1.4 KiB
ReStructuredText
Unstructured Core Library
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=========================
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The ``unstructured`` library is designed to help preprocess structure unstructured text documents
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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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Instructions on how to install the ``unstructured`` library on your system.
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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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: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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: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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: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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: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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introduction
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installing
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api
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core
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ingest/index
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metadata
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examples
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integrations
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best_practices
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