RAG System | AI Application

Enterprise-grade Next.js application featuring advanced Retrieval-Augmented Generation (RAG) with full Model Context Protocol (MCP) server integration, Puter AI authentication, and comprehensive fallback systems. Built for professional profile assistance and digital twin applications, this system showcases production-ready patterns for building resilient AI applications with dual RAG modes (Basic and Advanced) with automatic fallback, smart multi-layer fallback chain (Puter → Gemini → Groq), and real-time monitoring dashboard with comprehensive fallback tracking.

Role: Full-Stack AI/ML Developer