• Multi-Model Support: OpenAI GPT-4, Azure, ChatGLM, Qwen, ZhipuAI
• AI Platform Integration: Deep integration with FastGPT, Coze, DIFY and other leading AI platforms
• Spring AI MCP Integration: Extensible tool ecosystem with Model Context Protocol
• Streaming Chat: Real-time SSE/WebSocket communication
• AI Copilot: Intelligent code analysis and project scaffolding

• FastGPT Deep Integration: Native FastGPT API support with knowledge base retrieval, workflow orchestration and context management
• Coze Official SDK: Integration with ByteDance Coze platform official SDK, supporting Bot conversations and streaming responses
• DIFY Full Compatibility: Using DIFY Java Client for app orchestration, workflows and knowledge base management
• Unified Chat Interface: Standardized chat service interface supporting seamless platform switching and load balancing

• Local Knowledge Base: Langchain4j + BGE-large-zh-v1.5 embeddings
• Vector Database Support: Milvus, Weaviate, Qdrant
• Privacy-First: On-premise deployment with local LLM support
• Ollama & vLLM Compatible: Flexible model deployment options

• AI Art Generation: DALL·E-3, MidJourney, Stable Diffusion integration
• PPT Creation: Automated slide generation from text input
• Multi-Modal Processing: Text, image, and document understanding

• User Portal: web.pandarobot.chat (demo/demo123)
• Admin Panel: admin.pandarobot.chat (admin/admin123)

Component	GitHub	Gitee	GitCode
Backend API	ruoyi-ai	ruoyi-ai	ruoyi-ai
User Frontend	ruoyi-web	ruoyi-web	ruoyi-web
Admin Frontend	ruoyi-admin	ruoyi-admin	ruoyi-admin

Project Description	GitHub Repository	Gitee Repository
Simplified Frontend	ruoyi-element-ai	ruoyi-element-ai

• Backend: Spring Boot 3.4, Spring AI, Langchain4j
• Database: MySQL 8.0, Redis, Vector Databases (Milvus/Weaviate/Qdrant)
• Frontend: Vue 3, Vben Admin, Naive UI
• Authentication: Sa-Token, JWT

• File Processing: PDF, Word, Excel parsing, intelligent image analysis
• Real-time Communication: WebSocket real-time communication, SSE streaming
• System Monitoring: Comprehensive logging, performance monitoring, health checks

For detailed setup, configuration, and development guides, visit our comprehensive documentation:

📖 Official Documentation

We welcome contributions from developers of all skill levels! Whether you're fixing bugs, adding features, or improving documentation, your help is appreciated.

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

Please submit PRs to GitHub - they will be synchronized to other platforms automatically.

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

Special thanks to these amazing open source projects:

• Spring AI Alibaba Copilot - Intelligent coding assistant based on spring-ai-alibaba with MCP protocol integration for project analysis and code generation
• Spring AI - Spring's AI integration framework
• Langchain4j - Java LLM framework
• RuoYi-Vue-Plus - Enterprise development framework
• Vben Admin - Vue admin template
• chatgpt-java - ChatGPT Java SDK

• PPIO Cloud - Cost-effective GPU containers and model APIs

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