[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
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Updated
Sep 30, 2026 - Python
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
天枢 - 企业级 AI 一站式数据预处理平台 | PDF/Office转Markdown | 支持MCP协议AI助手集成 | Vue3+FastAPI全栈方案 | 文档解析 | 多模态信息提取
全流程 智能招投标 Agent:标书生成 · 招投标解读 · 标书检查 · 标书文档ai��版 · 商机发现 一键完成。 21 项合规检查 · 多模型切换 · RAG 知识库 · OCR 抽取。 从招标公告到可交付 docx 文档,全流程 AI 自动化。
A desktop-first literature manager for PDF reading, translation, paper overviews, and AI agent workflows.
High-fidelity tool to convert PDF files and images into fully editable PowerPoint presentations (.pptx). Unlike basic converters, it uses AI-powered structure extraction (MinerU) to accurately reconstruct text, layouts, and images, ensuring the output is not just a screenshot but a professional, modifiable document.
AI-Native document parser: PDF, Office & images → clean Markdown with LaTeX, tables & OCR. Zero-dependency CLI & skill for Claude Code, Cursor & AI agents.
Ray-powered accelerator for MinerU, turning PDF → Markdown into a scalable, cluster-ready data infrastructure. 基于 Ray 的 MinerU 加速层,将 PDF → Markdown 构建为可扩展、面向集群的数据基础设施。
PDF Parsing Tool: GOT's vLLM acceleration implementation, MinerU for layout recognition, and GOT for table formula parsing.
Multi-tenant RAG API powered by LightRAG/RAG-Anything. Auto-selects best parser (DeepSeek-OCR/MinerU/Docling) via complexity scoring
标书匠 BidCraft · 对话式标书编制系统:AI 智能编制技术标,支持招标文件解析、标段选择、标书编写、知识库提炼与学习对话式改稿。LLM-Wiki 路线,基于LangGraph实现。Open-source AI agent for construction tender & bid documents.
Enterprise-grade document parsing service with asynchronous queue processing based on MinerU, Celery and Docker.
Turn Zotero PDFs into structured, source-linked Markdown with MinerU.
Open-source PDF-to-Markdown post-processor with footnotes, LaTeX normalization, figure links, and YAML metadata. Supports Marker, MinerU, PyMuPDF, and Docling. Includes a self-hosted web UI.
一个跑在本地、完全免费的学术工作台:资讯聚合 → PDF 转写 → 摘要卡片 → 精读对照 → 研究日志(14 面板,零依赖)
Semark converts PDFs, Office files, HTML, and images into RAG-ready semantic Markdown using MinerU and VLM/LLM review, with chunks, source maps, and automatic document splitting.
PDF转Markdown/Word 软件MinerU最新版免安装一键启动整合包
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