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University Chatbot Using LLM and LightRAG
AI/ML Project

University Chatbot Using LLM and LightRAG

Intelligent university chatbot providing context-aware answers to student queries using LLMs and RAG-based retrieval.

Project Overview

This project develops an intelligent chatbot specifically designed for university environments, capable of answering complex student queries about academics, admissions, facilities, and campus life.

The system leverages LightRAG (Retrieval-Augmented Generation) to provide accurate, context-aware responses by retrieving relevant information from university databases and documents.

Built with a modern tech stack including FastAPI for the backend and React for the frontend, the chatbot offers a seamless user experience while maintaining high accuracy in information retrieval.

Key Features

  • Context-aware query understanding and response generation
  • LightRAG-based information retrieval from university data
  • Real-time chat interface with React frontend
  • FastAPI backend for efficient API handling
  • Integration with Qwen 2.5 LLM for natural language processing
  • Nomic embeddings for semantic search capabilities

Technologies Used

FastAPIPythonLightRAGOllamaQwen 2.5 LLMNomic EmbedReact

Project Details

Client

Personal Project

Timeline

2024

Role

Team Leader

© 2026 Oahed Noor Forhad. All rights reserved.

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