Why PDF Extraction Breaks RAG — And What I Built to Fix It

Описание и применение

Papero сохраняет структуру PDF, экспортируя в Markdown, JSON, Excel и Word, и генерирует метаданные для RAG, улучшая точность поиска.

Задача

Converting PDFs to plain text often loses tables, reading order, formulas, figures, and source locations, which harms Retrieval-Augmented Generation (RAG) pipelines.

Результат

Papero maintains structural integrity of PDFs, enabling more accurate RAG chunking and retrieval.

Рабочий процесс

• 1. Input PDF into Papero
• 2. Papero parses document structure
• 3. Export content to desired format (Markdown, JSON, Excel, Word)
• 4. Generate RAG chunks with metadata (section, page, bounding-box)
• 5. Feed chunks into RAG pipeline

Доказательства

When PDFs are converted to plain text, tables, reading order, formulas, figures and source locations can easily get lost — and that can hurt RAG pipelines.

Источник

I built Papero, an open-source PDF extraction tool that preserves document structure and exports to Markdown, JSON, Excel and Word.

Источник

It also provides structure-aware RAG chunks with section, page and bounding-box metadata.

Источник