Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{205251,
author = {Sahil Machkar and Girish Patil and Kirti Patil},
title = {SmAs.AI: Using RAG to make an enhanced AI-assistant platform},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {6322-6327},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=205251},
abstract = {AI is a revolutionary industry with significant potential to aid in numerous fields and for different roles and situations. This paper primarily focuses on the use of an AI-based assistant as a browser extension, enabling students to utilise AI as a tool to enhance their productivity without frequent visits to AI websites. This platform aims to provide a multipurpose tool to support students in coding, text generation, or text summarisation.},
keywords = {Assistant platform, Artificial Intelligence, Research Augmented Generation, Web Extensions, Code Completion, Text Summarization, Grammar Correction, Spell-Checking, Large Language Models (LLMs).},
month = {June},
}
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