使用Docling本地解析PDF用于RAG：丰富表格，无需云上传
英文摘要
The tutorial shows how to parse PDFs locally using the Docling tool, preserving table cells, OCR text, captions, and headings. The output matches cloud-grade document structure without any cloud upload, API keys, or per-page billing. This approach enables privacy-preserving document intelligence for RAG pipelines by converting PDFs into richly structured data ready for ingestion.
中文摘要
本教程演示如何使用Docling工具在本地解析PDF，保留表格单元、OCR文本、标题和说明文字，实现云端级文档结构化而无需上传、API密钥或按页付费。该方法将PDF转换为丰富结构数据，用于RAG流水线，确保数据隐私。
关键要点
Parses PDFs entirely locally using the Docling library, no cloud upload required.
使用Docling库完全本地解析PDF，无需上传云端。
Extracts rich document structure: table cells, OCR text, captions, and headings.
提取丰富的文档结构：表格单元、OCR文本、标题和说明文字。
Delivers cloud-grade output without API keys or per-page costs, preserving privacy.
提供云端级输出，无需API密钥或按页计费，保护数据隐私。
Output is directly usable for retrieval-augmented generation (RAG) systems.
输出可直接用于检索增强生成（RAG）系统。