A full-stack, multimodal Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents and engage in a real-time, conversational Q&A. The backend, built with FastAPI, handles PDF parsing, advanced semantic chunking, and a dual-strategy (semantic + keyword) retrieval from a ChromaDB vector store. The frontend is a modern
This is a full-stack document analysis application that enables users to upload PDF files and engage in AI-powered Q&A conversations about their content. Built with FastAPI backend and Next.js frontend, it features advanced PDF processing, semantic search using ChromaDB vector storage, and real-time chat with source citations. The system is designed for anyone needing to extract insights from documents through natural language queries, with production-ready features like rate limiting, session management, and mobile-responsive design.
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