AI-Powered Document Processing and Chat System

This paper presents an AI-driven platform for interactive PDF document analysis and collaboration. Leveraging LangChain, Supabase, and Vercel AI SDK, the system transforms static documents into searchable knowledge bases using vector embeddings and Retrieval-Augmented Generation (RAG). By bridging generative AI, vector databases, and end-user applications, this project demonstrates a scalable framework for transforming static documents into interactive knowledge bases, enhancing productivity in education, research, and enterprise workflows through seamless AI-human interaction.