Advanced Features
Cutting-edge capabilities powering the digital twin portfolio system. Production-ready RAG pipeline, MCP protocol integration, and high-performance architecture.
RAG Chat System
Production-ready retrieval-augmented generation with high accuracy and fast response times.
LLM Engine
Groq LLaMA 3.3-70b for high-speed, accurate responses
Vector Database
20 embedded chunks in Upstash Vector with 95%+ retrieval accuracy
Embeddings
384-dimensional sentence-transformers for semantic similarity
Response Quality
Context-aware answers with source citations and conversation memory
MCP Protocol
Model Context Protocol integration enabling AI assistants to interact with portfolio data.
7 Production Tools
Portfolio queries, interview Q&A, and semantic search capabilities
Dual Protocol Support
FastAPI server with HTTP (port 3000) and stdio for Claude Desktop
Interview Training
10+ generated Q&A pairs with STAR-format answers
Real-Time Integration
Live portfolio updates accessible through natural language
Performance Metrics
Optimized architecture delivering fast, reliable responses with enterprise-grade scalability.
<2s Response Time
Average RAG query processing from input to generated response
95%+ Accuracy
Semantic search retrieval accuracy with relevant context matching
Redis Session Cache
Persistent conversation history and context management
Load Tested
Validated performance under concurrent user requests
System Integration
Full-stack architecture with seamless frontend-backend communication and external API access.
FastAPI Backend
Python 3.11 MCP server on port 3000 with async request handling
Next.js Frontend
React 19 chat interface on port 3001 with streaming responses
RESTful API
Documented HTTP endpoints for all 7 MCP tools with JSON responses
CORS & Security
Cross-origin enabled with secure environment variable management
Technical Metrics
20
Vector Embeddings
<2s
Response Time
7
MCP Tools
10
Total Projects
Technology Stack
Next.js 16FastAPIPython 3.11TypeScriptUpstash VectorGroq LLaMA 3.3RedisTailwind CSSShadCN UIVercel