Project Name: RAG Application Description: The RAG (Retrieval-Augmented Generation) Application is a comprehensive system designed to handle document upload, management, and retrieval-augmented generation tasks. It consists of a FastAPI-based backend and a React-based frontend, providing a seamless user experience for document handling and processing. Architecture The project is divided into two main components: the backend and the frontend. Backend Framework: The backend is built using FastAPI, offering a robust and scalable API for handling document-related operations. Features: File Upload API: Secure file upload with support for PDF, DOCX, and TXT files. File Management: Capabilities to upload, list, and delete files. Background Processing: Asynchronous file processing pipeline. Health Monitoring: Health check endpoints for system status. API Documentation: Auto-generated Swagger/OpenAPI documentation. Planned Enhancements: Document processing for text extraction. Vector storage for document embeddings. RAG-based question-answering system. User authentication and API security. Deployment: The backend can be started using Python scripts, with configurations available in config.py. Frontend Framework: The frontend is developed using React, providing a dynamic and responsive user interface. Features: Document Upload: Drag & drop or click to upload files. File Management: List, select, and delete documents. PDF Viewer: Interactive PDF viewer with navigation controls. Real-time Updates: Automatic refresh of file lists after operations. Responsive Design: Mobile-friendly layout. API Integration: Communicates with the FastAPI backend for file management and health checks. Development: Built with Create React App, using modern JavaScript features and React Hooks. Deployment Containerization: The project is designed to be containerized using Docker for consistent environments across development and production. Cloud Provider: The application is intended for deployment on cloud platforms like AWS or Azure for scalability and reliability. Key Features Responsive Design: Ensures a seamless experience across devices. Error Handling: Comprehensive error handling with user-friendly messages. Real-time Updates: Utilizes modern web technologies for real-time data updates. Conclusion The RAG Application demonstrates a modern web application architecture, utilizing best practices and technologies to deliver a high-quality user experience. It is designed to be scalable, secure, and easy to use, with a focus on document management and retrieval-augmented generation.