System Overview
The Personal Data Service is an open expert RAG service platform based on MCP (Model Context Protocol). This system creates a bidirectional ecosystem where both users and experts can benefit mutually, enhancing accessibility to specialized knowledge and improving AI service quality.
Core Components
1. User Interface (Left Side)
- LLM Model Selection: Users can choose their preferred language model or MoE (Mixture of Experts)
- Expert Selection: Select domain-specific experts for customized responses
- Prompt Input: Enter specific questions or requests
2. Open MCP Platform (Center)
- Integrated Management Hub: Connects and coordinates all system components
- Request Processing: Matches user requests with appropriate expert RAG systems
- Service Orchestration: Manages and optimizes the entire workflow
3. LLM Service Layer (Right Side)
- Multi-LLM Support: Integration with various AI model services
- OAuth Authentication: Direct user selection of paid/free services
- Vendor Neutrality: Open architecture independent of specific AI services
4. Expert RAG Ecosystem (Bottom)
- Specialized Data Registration: Building expert-specific knowledge databases through RAG
- Quality Management System: Ensuring reliability through evaluation and reputation management
- Historical Logs: Continuous quality improvement through service usage records
Key Features
- Bidirectional Ecosystem: Users obtain expert answers while experts monetize their knowledge
- Open Architecture: Scalable platform based on MCP standards
- Quality Assurance: Expert and answer quality management through evaluation systems
- Flexible Integration: Compatibility with various LLM services
- Autonomous Operation: Direct data management and updates by experts
With Claude
Lechuck Park 