Enhancing Your LLM with Knowledge Base Service
08-24, 11:20–12:00 (Asia/Kuala_Lumpur), JC 1

AI has significantly evolved recently, largely due to advancements in Large Language Models (LLMs). Today, numerous applications are powered by AI/LLM, and many open-source frameworks and LLM techniques are accessible to all.


In my session, I'll focus on how leveraging a knowledge base/RAG can enhance LLMs for your applications. Join us! I'll guide you through how we developed a scalable, customizable knowledge base service, and share insights and lessons learned from implementing a knowledge base/RAG for production applications.

A Chemical Engineering Graduate with a strong passion for AI and emerging technologies. A self-taught programmer with approximately 3-4 years of experience. Currently serving as a Fullstack Software Engineer at Grab, part of the GATE team.