opendatalab/mineru-document-explorer

MinerU 文档探索器

代理原生知识引擎——从 Markdown、PDF、DOCX 和 PPTX 中搜索、深入阅读并构建知识库。

中文文档 · MCP设置 · CLI参考 · 演示 · 贡献

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🤔 为什么选择MinerU文档浏览器？

MinerU 文档资源管理器为您的代理配备了三套工具——检索、深度读取和导入——完成完整的知识循环：

• ** 🔍 检索** — 交叉收集搜索：BM25、向量和混合搜索，支持LLM重排序和查询扩展
• ** 📖 深度读取** — 在单个文档内导航而无需加载整个文件：目录、章节阅读、内联搜索和元素提取
• ** 📝 导入** — 从原始文档构建和维护LLM维基，遵循Karpathy LLM Wiki模式

由MinerU团队开发，基于QMD和Karpathy的LLM Wiki。

💡 你能拿它做什么？

• 研究助理 — 指向一个PDF文件夹，要求你的AI代理调查文献、比较方法或寻找不同论文的具体结果

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🤔 Why MinerU Document Explorer?

MinerU Document Explorer equips your agent with three tool suites — Retrieve, Deep Read, and Ingest — closing the full knowledge loop:

• 🔍 Retrieve — Cross-collection search: BM25, vector, and hybrid with LLM reranking and query expansion
• 📖 Deep Read — Navigate inside a single document without loading the whole file: table of contents, section reading, inline search, and element extraction
• 📝 Ingest — Build and maintain a LLM wiki from raw documents, following the Karpathy LLM Wiki pattern

Developed by the MinerU team, building on QMD and Karpathy’s LLM Wiki.

💡 What can you do with it?

• Research assistant — Point it at a folder of PDFs and ask your AI agent to survey the literature, compare methods, or find specific results across papers
• Project knowledge base — Index your codebase, docs, and design specs; let the agent answer questions about architecture, find relevant code, or trace requirements
• Study companion — Upload textbooks or lecture notes; use doc_toc + doc_read to navigate, doc_grep to search, and build a wiki of key concepts
• Enterprise document search — Index contracts, reports, or manuals and search them with natural language queries enhanced by LLM reranking