A basic document parsing utility. (Core)
Project description
A basic document parsing and loading utility - Core
Overview
The docp-* project suite is designed as a comprehensive (doc)ument (p)arsing library. Built in CPython, it consolidates the capabilities of various lower-level libraries, offering a unified solution for parsing binary document structures.
The suite is extended by several sister projects, each providing unique functionality:
| Project | Description |
|---|---|
| docp-core | Centralized core objects, functionality and settings. |
| docp-parsers | Parse binary documents (e.g. PDF, PPTX, etc.) into Python objects. |
| docp-loaders | Load a parsed document's embeddings into a Chroma vector database, for RAG-enabled LLM use. |
| docp-docling | Convert a PDF into Markdown format via wrappers to the docling libraries. |
| docp-dbi | Interfaces to document databases such as ChromaDB, and Neo4j (coming soon). |
Installation
To install docp-core, first activate your target virtual environment, then use pip:
pip install docp-core
For older releases, visit PyPI or the [GitHub Releases][giithub-releases] page.
Using the Library
The documentation suite provides detailed explanations and usage examples for each importable module. For in-depth documentation, code examples, and source links, refer to the Library API page.
A search field is available in the left navigation bar to help you quickly locate specific modules or methods.
Troubleshooting
No troubleshooting guidance is available at this time.
For questions not covered here, or to report bugs, issues, or suggestions, please open an issue on GitHub.
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