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ageerle / ruoyi-ai
面向企业级市场的一站式AI应用开发框架,支持多厂商大模型统一接入与管理,具备安全可控的企业知识库与高精度检索优化能力,提供可视化流程编排、自主决策智能体与多智能体协同调度,兼容主流 Agent Skill 协议,帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。
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7 issues
Java
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing ageerle/ruoyi-ai in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Source files are only loaded when you start an analysis to optimize performance.