Complete Full-Stack Application

• Backend: FastAPI with authentication, RAG engine, and MCP agents • Frontend: Modern React interface with responsive design • Database: ChromaDB vector store with SQLite authentication • Security: JWT-based authentication with role-based access control

Key Features Implemented ✅ Dual AI Modes: RAG (knowledge retrieval) + MCP (specialized agents) ✅ 6 Specialized Agents: PRINCE2, Agile, ITIL, AI Strategy, PMBOK, General PM ✅ Document Processing: PDF, DOCX, PPTX, TXT, CSV, MD support ✅ Modern UI: Query interface, file upload, dashboard, agent management ✅ Security: Authentication, authorization, encrypted passwords ✅ Production Ready: Docker deployment, comprehensive documentation

System Validation ✅ All Tests Passing: 9/9 system tests successful ✅ Frontend-Backend Integration: Fully functional ✅ Authentication Working: Secure login/logout ✅ API Endpoints: All operational and documented

📁 Complete Project Deliverables The attached files contain everything you need to deploy and run your AI Knowledge Assistant:

1. Complete Source Code: Backend and frontend applications
2. Documentation: Setup, deployment, and usage guides
3. Configuration: Docker, environment, and deployment files
4. Testing: Comprehensive test suite and validation
5. Security: Authentication system and security features 🔧 Quick Start

Option 1: Docker (Recommended) bash docker-compose up -d

Access: http://localhost:3000 (frontend ) | http://localhost:8000 (backend )

Option 2: Manual Setup bash

Backend: pip install -r requirements.txt && python backend/main_simple.py

Frontend: cd frontend && npm install && npm run dev

Default Login: admin / admin123 (change in production!)

🎯 Ready for Your Use Cases The system now supports all your requested scenarios: • "Compare MSP vs PMBOK for a hybrid program" • "Suggest mitigation for scope creep" • "Generate agenda for sprint review" • "What are key differences between PRINCE2 and Agile?" • "Best practices for vendor de-scoping mid-contract"

📈 Next Steps

1. Deploy: Use the provided Docker configuration
2. Load Content: Upload your 1400+ certifications and documents
3. Customize: Adjust agents and settings for your specific needs
4. Scale: Follow deployment guide for production environment

🙋‍♂️ Author Ryan Dear GitHub | LinkedIn | Email