Cloistered knowledge capture and retrieval: offline LLMs and vector search for enterprise

Conference paper

Hall, S.J., Smith, S., Başkent, C. and de Raffaele, C. 2025. Cloistered knowledge capture and retrieval: offline LLMs and vector search for enterprise. 5th International Conference on Smart Information Systems and Technologies. Astana, Kazakhstan 14 - 16 May 2025 IEEE. https://doi.org/10.1109/sist61657.2025.11139171
TypeConference paper
TitleCloistered knowledge capture and retrieval: offline LLMs and vector search for enterprise
AuthorsHall, S.J., Smith, S., Başkent, C. and de Raffaele, C.
Abstract

In an era of rapid technological advancements, Artificial Intelligence (AI) has proven to be an invaluable tool for enhancing various aspects of human life. This research paper delves into the potential impact of cutting-edge AI technologies on business by integrating them into a knowledge management system. The aim of this study is to explore how these innovations can contribute significantly to empowering businesses, facilitating their growth, bolstering their competitiveness in the marketplace, and provide resilience against staff mobility. This paper examines recent advancements in Generative Transformers, Vector Databases, and Large Language Models to support the development of a novel, secure system for the capture, storage, and retrieval of knowledge—purpose-built for business-focused knowledge management. It implements and evaluates a system that challenges a sanitized version of an actual business dataset consisting of 595 documents to a set of 40 actual business enquiries. The accuracy, trustworthiness and response time of the system is evaluated with a thorough review of its limitations and recommendations for future work.

Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
Conference5th International Conference on Smart Information Systems and Technologies
Proceedings Title2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST)
ISBN
Electronic9798331515140
Paperback9798331515157
PublisherIEEE
Publication dates
Print14 May 2025
Online01 Sep 2025
Publication process dates
AcceptedMay 2025
Deposited17 Sep 2025
Output statusPublished
Accepted author manuscript
License
File Access Level
Open
Digital Object Identifier (DOI)https://doi.org/10.1109/sist61657.2025.11139171
Web address (URL) of conference proceedingshttps://doi.org/10.1109/SIST61657.2025
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