本项目是一个基于 Agentic RAG 架构的智能知识问答系统。后端基于 FastAPI 构建，前端使用 React + Vite，集成 Qdrant 向量数据库、BM25 关键词检索、MySQL 结构化查询、Neo4j +知识图谱和 Serper 网络搜索五大知识源。系统核心为一条 7 阶段流水线：查询优化、意图识别、任务拆解、ReAct 代理检索、相关性检查、答案生成及 Self-RAG 质量评估，通过闭环纠错机制保障回答质量。 +支持多用户注册登录，每位用户拥有独立的个人知识库，可上传 PDF、Word、Excel 等多种格式文件并自动向量化，文档入库时自动抽取实体构建知识图谱。系统还实现了三级压缩对话记忆、用户画用户画像自动提…
☆22Jun 17, 2026Updated 4 months ago
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