RAG-Based Academic Knowledge Assistant
Retrieval-Augmented Generation (RAG) assistant for university courseware and research paper question answering with source citation.
Customized to Your Project Requirements
All engineering projects are custom fabricated to match your specific IEEE publication standards, academic department guidelines, and selected hardware/sensor stack. Request a custom quote to receive an itemized proposal, timeline, and deliverables list.
Project Technical Overview
Built using LangChain, vector databases (ChromaDB/FAISS), and LLMs. Indexes academic textbooks, lecture slides, and research papers, allowing students and faculty to query complex technical topics with hallucination-free responses and line-item source citations.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.