Principle:Infiniflow Ragflow Document Parsing
| Knowledge Sources | |
|---|---|
| Domains | RAG, Document_Processing, NLP |
| Last Updated | 2026-02-12 06:00 GMT |
Overview
A document transformation pattern that converts raw file binaries into structured text chunks using format-specific parsers with layout analysis and OCR.
Description
Document Parsing transforms raw document files (PDF, Excel, HTML, Markdown, etc.) into structured text chunks. For PDFs, this involves YOLO-based layout analysis (DeepDOC) to detect text blocks, tables, figures, and headers, followed by PaddleOCR for scanned content. The parser is selected via a FACTORY dictionary that maps parser type strings to parser modules. Each parser module implements a chunk() method with a standardized interface.
Usage
This operates automatically within the task executor. The parser is selected based on the parser_id from the knowledge base configuration.
Theoretical Basis
Document parsing combines multiple techniques:
- Layout analysis: YOLO object detection identifies document structure (headers, paragraphs, tables, figures)
- OCR: PaddleOCR extracts text from scanned/image-based content
- Format-specific parsing: Each format (PDF, Excel, HTML, etc.) has dedicated extraction logic