Beyond text splitting – improved file parsing for LLM’s

Easily chunking complex documents is essential for RAG systems. Most open-source libraries struggle with this, but Open Parse fills the gap by visually analyzing document layouts to chunk effectively. Unlike text splitting, Open Parse maintains the original layout structure, including tables and images. ML layout parsers like layout-parser are limited in grouping related content efficiently. Commercial solutions are expensive and require sharing data. Open Parse stands out for visually-driven document analysis, markdown support, and high-precision table extraction. It’s extensible, intuitive, and user-friendly. With simple installation requirements, Open Parse offers a comprehensive solution for document chunking needs.

https://github.com/Filimoa/open-parse

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