11-16, 11:50–12:20 (Asia/Hong_Kong), LT9
Language: English
In this session, we will show you how you can quickly build an AI-powered RAG application with MySQL9.0 and python:
* Build your own document repository in vector store in MySQL 9.0
* Integrate LLM in your application to process questions
* Generate context-aware answers from your vector store
Ryan Kuan is a Cloud Solutions Engineer who helps organisations to adopt cloud-native data architecture across the Asia Pacific regions at Oracle MySQL.
Ryan believes that organisations adopting cloud technology can focus and innovate their business entirely without worrying about the underlying IT infrastructure the business depends upon. He has helped many organizations adopt cloud-native data science capabilities to discover invaluable information and data insights to solve complex business problems.
Prior to joining Oracle MySQL, he worked in various roles such as Cloud Advisor, Solutions Architect, and Database Engineer at IBM, BEA Systems, and Informix respectively, he achieved various professional accreditations such as TOGAF, ITIL, and IBM certified professional architect.