CS MSc Thesis Presentation 17 March 2026

Tuesday, 17 March there will be a master thesis presentation in Computer Science at Lund University, Faculty of Engineering.

The presentation will take place in E:2116.

Note to potential opponents: Register as an opponent to the presentation of your choice by sending an email to the examiner for that presentation (firstname [dot] lastname [at] cs [dot] lth [dot] se). Do not forget to specify the presentation you register for! Note that the number of opponents may be limited (often to two), so you might be forced to choose another presentation if you register too late. Registrations are individual, just as the oppositions are! More instructions for opponents are found here on the LTH thesis project page.

10:15-11:00 in E:2116

• Presenters: Magnus Herstedt, Martin Fredlund
• Title: Evaluating Database Types for AI Chatbot Data Retrieval
• Examiner: Per Andersson
• Supervisors: Lars Bendix (LTH), Per Fryking (Lime Technologies)

Customer Relationship Management (CRM) solutions increasingly integrate AI chatbots. The requirements for information retrieval are complex, making the selection of the optimal database type critical. This thesis analyzes how different database types compare in their retrieval capabilities within a CRM context. 

This thesis was divided into two phases, first we conducted interviews with stakeholders to gain insight into use cases and system requirements. These insights were utilized in phase 2 that was an experimental phase over four iterations in which each completed iteration was evaluated and new exploratory ideas were carried on.

The results demonstrated that while graph databases generally delivered strong overall performance and high accuracy by utilizing graph traversal, vector databases outperformed them in specific use cases specifically on retrieval from unstructured data and semantic queries. Furthermore, the evaluation demonstrates that minimizing tool calls is the most critical factor for designing an efficient retriever.