PolicyGuard AI is a production-ready Retrieval-Augmented Generation (RAG) platform for asking natural language questions about organizational documents. The platform combines semantic search with large language models to deliver accurate, context-aware answers while preserving source references, helping users get the information they need.

Key capabilities include:

• AI-powered document question answering (RAG)

• FastAPI asynchronous backend

• Semantic search with Qdrant Vector Database

• OpenAI GPT integration

• Redis response caching and chat memory

• Role-Based Access Control (RBAC)

• PDF & DOCX document ingestion pipeline

• AWS EC2 deployment with Docker and Nginx

• Production monitoring and health checks

Technologies: Python • FastAPI • OpenAI API • Qdrant • Redis • Docker • AWS EC2 • Nginx • Streamlit • Prometheus • Grafana

This project demonstrates end-to-end AI backend engineering, from document ingestion and semantic retrieval to deployment, monitoring, and production-ready APIs.