Smart RAG Document Q&A System

A Retrieval-Augmented Generation (RAG) system that transforms static PDF documents into interactive, queryable knowledge bases. Users upload any PDF — contracts, manuals, research papers — and ask questions in plain English, receiving accurate answers with exact page citations. Unlike generic chatbots, this system never hallucinates information. Every answer is grounded in the actual document content, retrieved through semantic vector search and verified against source pages. The system supports multi-turn conversations, remembering context across a session so users can ask natural follow-up questions without repeating themselves.