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@article{172000,
        author = {Sindhu M and Shobha Chandra K and Druthi Mahesh and Shamitha L and Saniha M},
        title = {Enhancing student support with a RAG powered chatbot-A novel approach to query resolution},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1576-1581},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172000},
        abstract = {This paper describes a RAG-based approach using AI to optimize the experience of students interacting with textbooks. Finding accurate answers to questions is one of the problems faced by students which is resolved by this project. Additionally, using pre-trained Large Language Models and Natural Language Processing allows the system to function as a great aid for self-education. The architecture of the system, its purposes, and the possibility of investigation into other areas of academia are being developed as a RAG-based system with particular importance to improve student’s academic performance.},
        keywords = {Artificial Intelligence, Large Language Models, Natural Language Processing, Retrival-Augmented Generation.},
        month = {January},
        }