Chat with MySQL with LLM and Langchain

By Ryan Kuan

議題

Chat with MySQL with LLM and Langchain

TR410 [[ new Date( '2024-08-03 05:40:00+00:00' ).toLocaleDateString('ja', {year: 'numeric', month: '2-digit', day: '2-digit'}) ]] [[ new Date( '2024-08-03 05:40:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] ~ [[ new Date( '2024-08-03 06:10:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] 英文 English
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Learn how to modernize your MySQL applications with a natural language chat interface using popular large language models such as OpenAI, Cohere, and many others. In this session, we will use one of the popular frameworks, Langchain to build a simple chat application to answer your questions on data stored in MySQL.

講者

Ryan Kuan

Ryan Kuan

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. Before 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.

MySQL innovation and application sharing session track MySQL創新與應用的分享平台 VMRPXE general (30mins)