🚀 Live Demo

Service	URL	Default Account
Admin Panel	http://129.226.199.247:25666	admin / admin123
User Frontend	http://129.226.199.247:25137	admin / admin123
Commercial Edition	https://web.ruoyiai.chat	WeChat QR code login

✨ Core Features

Module	Current Capabilities
Model Management	Multi-model integration (DeepSeek/Zhipu/MIMO/Bailian/OpenAI), multi-modal understanding, Coze/DIFY/FastGPT/RAGFlow platform integration
Knowledge Management	Local RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing
Tool Management	MCP protocol integration, Skills capability + Extensible tool ecosystem
Workflow Orchestration	Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review, and other nodes
Multi-Agent	Agent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models, can flexibly combine tools and skills

Project Repositories

Module	GitHub Repository	Gitee Repository	GitCode Repository
🔧 Backend	ruoyi-ai	ruoyi-ai	ruoyi-ai
🎨 User Frontend	ruoyi-web	ruoyi-web	ruoyi-web
🛠️ Admin Panel	ruoyi-admin	ruoyi-admin	ruoyi-admin
🎬 Drama	ruoyi-drama	ruoyi-drama	ruoyi-drama
🤖 Copilot	ruoyi-copilot	ruoyi-copilot	ruoyi-copilot
📱 Mini-App	ruoyi-uniapp	ruoyi-uniapp	ruoyi-uniapp

Partner Projects

Project Name	GitHub Repository	Gitee Repository
element-plus-x	element-plus-x	element-plus-x

🛠️ Technical Architecture

Core Framework

• Backend: Spring Boot 3.5.8 + Langchain4j
• Data Storage: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate/Qdrant)
• Frontend: Vue 3 + Vben Admin + element-plus-x
• Security: Sa-Token + JWT dual-layer security
• Document Processing: PDF, Word, Excel parsing, intelligent image analysis
• Real-time Communication: WebSocket real-time communication, SSE streaming response
• System Monitoring: Comprehensive logging system, performance monitoring, service health checks

🐳 Docker Deployment

This project provides two Docker deployment methods:

Method 1: One-click Start All Services (Recommended)

Use docker-compose-all.yaml to start all services at once (including backend, admin panel, user frontend, and dependencies):

# Requirements: Docker Engine and Docker Compose V2

# Clone the v3.1.0 release
git clone --depth 1 --branch v3.1.0 https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai

# Pin the image version. Public GHCR images do not require docker login.
cp docs/docker/ruoyi-ai/.env.example docs/docker/ruoyi-ai/.env
sed -i 's/^RUIYI_VERSION=.*/RUIYI_VERSION=v3.1.0/' docs/docker/ruoyi-ai/.env

# Pull pre-built images from GHCR and start all services
docker compose --env-file docs/docker/ruoyi-ai/.env \
  -f docs/docker/ruoyi-ai/docker-compose-all.yaml pull
docker compose --env-file docs/docker/ruoyi-ai/.env \
  -f docs/docker/ruoyi-ai/docker-compose-all.yaml up -d

# Check service status
docker compose --env-file docs/docker/ruoyi-ai/.env \
  -f docs/docker/ruoyi-ai/docker-compose-all.yaml ps

# Access services (replace SERVER_IP with the server address)
# Admin Panel: http://SERVER_IP:25666 (admin / admin123)
# User Frontend: http://SERVER_IP:25137
# Backend API: http://SERVER_IP:26039

The default Compose file also publishes MySQL (23306), Redis (26379), Weaviate (28080), and MinIO (29000/29090). For production deployments, change the default MySQL and MinIO passwords and expose only the application ports through the firewall or a reverse proxy.

To upgrade to another published release, update RUIYI_VERSION in docs/docker/ruoyi-ai/.env, then run docker compose pull and docker compose up -d with the same --env-file and -f options. Do not use docker compose down -v unless you intend to delete persistent data volumes.

Method 2: Step-by-step Deployment (Source Build)

If you need to build backend services from source, follow these steps:

Step 1: Deploy Backend Service

# Enter backend project directory
cd ruoyi-ai

# Start backend service (build from source)
docker-compose up -d --build

# Wait for backend service to start
docker-compose logs -f backend

Step 2: Deploy Admin Panel

# Enter admin panel project directory
cd ruoyi-admin

# Build and start admin panel
docker-compose up -d --build

# Access admin panel
# URL: http://localhost:5666

Step 3: Deploy User Frontend (Optional)

# Enter user frontend project directory
cd ruoyi-web

# Build and start user frontend
docker-compose up -d --build

# Access user frontend
# URL: http://localhost:5137

Service Ports

Service	One-click Port	Step-by-step Port	Description
Admin Panel	25666	5666	Admin backend access
User Frontend	25137	5137	User frontend access
Backend Service	26039	6039	Backend API service
MySQL	23306	23306	Database service
Redis	26379	6379	Cache service
Weaviate	28080	28080	Vector database
MinIO API	29000	9000	Object storage API
MinIO Console	29090	9090	Object storage console

📚 Documentation

Want to learn more about installation, deployment, configuration, and secondary development?

👉 Complete Documentation

🤝 Contributing

We warmly welcome community contributions! Whether you are a seasoned developer or just getting started, you can contribute to the project 💪

How to Contribute

1. Fork the project to your account
2. Create a branch (git checkout -b feature/new-feature-name)
3. Commit your changes (git commit -m 'Add new feature')
4. Push to the branch (git push origin feature/new-feature-name)
5. Create a Pull Request

💡 Tip: We recommend submitting PRs to GitHub, we will automatically sync to other code hosting platforms

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🙏 Acknowledgments

Thanks to the following excellent open-source projects for their support:

• Langchain4j - Powerful Java LLM development framework
• RuoYi-Vue-Plus - Mature enterprise-level rapid development framework
• Vben Admin - Modern Vue admin template

💎 Sponsors

Thanks to the following sponsors for supporting this project:

Visit Atlas Cloud · Coding Plan Promotion A full-modal AI inference platform that gives developers a unified AI API, supporting video generation, image generation, and LLMs. Connect once to access 300+ curated models.

Sign up to claim 25 million tokens — go now Enjoy ByteDance's in-house Doubao models plus full-power open-source SOTA models, covering text, VLM, and image generation — all modalities in one stop: Seed-2.1, Seedream-5.0, GLM-5.2, DeepSeek, and more. Not just for coding — it can also tackle complex long-horizon Agent tasks!

💬 Community Chat

---