EduRag - A Retrieval-Augmented Generation (RAG) Based AI Teaching Assistant

K Vikram Reddy; Gulam Yezdani Hamza; Simam Fouzan Hussain; Bijju Sushanth Yadav

doi:10.36948/ijfmr.2026.v08i02.73853

EduRag - A Retrieval-Augmented Generation (RAG) Based AI Teaching Assistant

Author(s)	Prof. K Vikram Reddy, Mr. Gulam Yezdani Hamza, Mr. Simam Fouzan Hussain, Mr. Bijju Sushanth Yadav
Country	India
Abstract	The rapid growth of digital learning platforms has resulted in a massive availability of educational content across formats such as video lectures, audio recordings, textbooks, and online documents. Students often face difficulty locating specific explanations within long lectures or large documents, which leads to inefficient learning and increased time spent searching for relevant information. Traditional learning platforms primarily provide raw content access and basic keyword search, lacking intelligent systems capable of understanding concepts and retrieving precise explanations. Retrieval-Augmented Generation (RAG) offers a promising solution by combining semantic retrieval with large language models to generate context-aware responses grounded in relevant data. This paper proposes EduRAG, an AI-powered teaching assistant designed to process educational materials such as MP4 videos, MP3 audio lectures, and PDF documents to build a unified knowledge base. The system retrieves relevant content and generates clear explanations along with video timestamps or document references, improving learning efficiency and reducing search time.
Keywords	Retrieval Augmented Generation, Educational AI, Semantic Search, Large Language Models, AI Teaching Assistant, Multimodal Learning Systems, Vector Embeddings
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-08
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.73853

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2 Cover Page Vol 8 Isu 1 Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

EduRag - A Retrieval-Augmented Generation (RAG) Based AI Teaching Assistant

Share this