@VincentLogic: What's the most headache in RAG? Not the AI model, it's document parsing! PDF, Word, PPT to Markdown is a mess, tables and formulas all over the place... Recently tried MinerU 3.1, it's amazing! One-click conversion, perfect format preservation, auto-identification of tables, formulas, images...

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Summary

Recommending MinerU 3.1 document parsing tool, which perfectly converts PDF, Word, PPT etc. to Markdown, supports auto-identification of tables, formulas, images, and offers three modes (Pipeline/VLM), open-source and commercially usable.

What's the most headache in RAG? It's not the AI model, it's document parsing! PDF, Word, PPT to Markdown is a mess, tables and formulas all over the place... Recently tried MinerU 3.1, and it's amazing! One-click conversion, perfect format preservation Auto-identification of tables, formulas, images Three modes available (choose Pipeline for speed, VLM for precision) Even Excel and PPT can be directly parsed Most importantly: Apache 2.0 license, completely okay for commercial use! There's a full installation and deployment tutorial in the video, must-watch for anyone building knowledge bases! Project link in the comments.
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Cached at: 05/16/26, 09:16 AM

What’s the biggest headache when doing RAG? It’s not the AI model — it’s document parsing! PDF, Word, PPT to Markdown conversions are often a mess, with tables and formulas completely garbled…

Recently I tried MinerU 3.1, and it’s a game changer!

  • One-click conversion with perfect format preservation
  • Automatic recognition of tables, formulas, and images
  • Three modes available (choose Pipeline for speed, VLM for accuracy)
  • Even Excel and PPT can be parsed directly

Most importantly: it’s under the Apache 2.0 license, fully commercial-friendly! The video includes a complete installation and deployment tutorial — a must-watch for anyone building a knowledge base!

Project link is in the comments.

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