RAG-Based Ilma University Chatbot

Students often struggle to find specific details buried in PDFs, syllabi, or university policies. This system eliminates the need for manual searching by offering natural language Q&A over official documents — saving time, reducing confusion, and enhancing student support services.

The AI-Powered University Q&A System is a Retrieval-Augmented Generation (RAG) application designed to answer students' and faculty's queries about university-related documents — including course outlines, policies, admission guidelines, and more. By combining vector-based semantic search with large language models (LLMs), the system provides accurate, context-aware answers from the university's official documentation. Built with FastAPI, LangChain, ChromaDB, and integrated with Groq for blazing-fast responses, this tool acts as a 24/7 intelligent assistant for your campus.