IEEE RAG Educational System
Educational RAG system with LLM integration and prompt engineering, developed and presented during the IEEE ENIT Education Week on behalf of the IEEE Student Branch.
Demo
Demo video coming soon — stay tuned!
Overview
Developed and presented during the IEEE ENIT Education Week on behalf of the IEEE Student Branch, this project demonstrates a complete Retrieval-Augmented Generation system built for learning use cases.
It combines LLM integration with hands-on prompt engineering: documents are chunked, embedded and retrieved to ground the model's answers, dramatically reducing hallucinations compared to raw prompting.
Beyond the code, the project served an educational mission — introducing students to RAG concepts, vector search and responsible AI usage through a live, practical demonstration.
Key Features
- Complete RAG pipeline: chunking, embedding, retrieval, generation
- LLM integration with practical prompt engineering
- Grounded answers to reduce hallucination
- Presented live at IEEE ENIT Education Week
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