Fikr: AI chatbot powered with vector search

Sulaeman, Ramadhani Nurfikri and Handayani, Dini Oktarina Dwi and Alghifari, Muhammad Fahreza and Almadani, Daniah and Suryady, Zeldi and Lathifah, Zahra Khusnul (2025) Fikr: AI chatbot powered with vector search. In: 10th International Conference on Computing, Engineering and Design (ICCED), 11-12 December 2024, Saudi Arabia.

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Abstract

Fikr is a cutting-edge chatbot designed to enhance access to Islamic knowledge by leveraging advanced AI technologies such as vector search and Large Language Models (LLMs), including GPT-3.5. Developed using a combination of Streamlit for the frontend, Flask for the backend, and Firebase for data storage and authentication, Fikr provides users with precise and reliable responses, complete with accurate citations from verified sources such as Hadiths and Quranic verses. A key feature of Fikr is its vector-based search capability, which allows for efficient retrieval of semantically relevant information, improving the accuracy of query responses compared to traditional keyword-based methods. The development process encountered challenges, particularly in data vectorization and ingestion, addressed through iterative troubleshooting and data cleaning methods, resulting in a refined dataset of 33,535 entries. Fikr's answer generation algorithm, incorporating vector database results and LLM-generated responses, ensures that users receive contextually appropriate and well-supported answers. Comparative testing with other AI models, including GPT-4 and Gemini, demonstrated Fikr's superior accuracy and source citation performance.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	Islamic knowledge, AI chatbot, vector search, Large Language Models, data vectorization
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Dini Handayani
Date Deposited:	17 Jul 2025 15:50
Last Modified:	17 Jul 2025 15:54
URI:	http://irep.iium.edu.my/id/eprint/122095

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