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| Title: | Model and Query Data with Oracle SQL Property Graph in Oracle Database 23ai |
| Presenter: | Kai Yu |
| Organization: | Independent |
| Summary: | In today’s data-driven landscape, understanding relationships between entities is crucial. A property graph data model excels in this regard, representing data as vertices (entities) and edges (relationships), with both vertices and edges capable of holding multiple properties. This structure enables property graph databases to explicitly store and query information about connections, making it easier to perform graph analysis and build machine learning models based on relational data. The Oracle database 23ai introduces robust property graph support in SQL, allowing users to create and query property graph views from relational tables. In this session, attendees will explore practical examples of writing relationship-based queries using Oracle SQL’s new GRAPH_TABLE operator, as well as how to leverage JSON Data Types for enhanced graph queries. We will also examine various use cases that highlight how developers can effectively utilize SQL property graphs for advanced analytics and machine learning. Additionally, we will delve into an advanced topic: the application of graph databases in Generative AI through Graph RAG (Retrieval-Augmented Generation). This innovative approach enhances traditional RAG by incorporating a graph database as a contextual information source for Large Language Models (LLMs). By providing LLMs with contextually rich data, Graph RAG improves the accuracy and understanding of complex information, enabling more coherent and relevant responses. Join us to discover how to harness the power of property graphs for data analysis and machine learning, and explore the exciting potential of Graph RAG in the evolving field of Generative AI. |
| Topic: | Developer |
| Session Type: | One Hour Session |
| Target Audience: | |
| Experience Level: | |
| Session: | 3: 02/12/2025 10:40 am to 11:40 am |
| Location: | Room 100B |
| Biographical Sketch: | Kai currently is an independent Oracle technology consultant. Kai has worked for Dell Technologies as a Distinguished Engineer leading the solutions engineering for more than 22 years. Kai has 30 years’ experience of architecting various IT solutions by specializing in Oracle database, Oracle EBS, Oracle Cloud, Oracle BI Analytic. Since 2019, Kai has been focusing on AI, Machine Learning and Generative AI and LLMs Kai has been a frequent speaker at various IT/Oracle conferences such as IEEE HPCC, OOW, Collaborates, Oracle LAOUC tour, Oracle APAC tour, Oracle EMEA tours at RMOUG, HrOUG, SPOU,GPOUG, LUXOUG , DOAG(Germany), UKOUG, OUGN etc. Since 2019 Kai has given around 30 technical presentations related to Machine Learning and AI at various Oracle technology conferences in US and Europe and Asia. He also authored 36 articles in technical journals such as IEEE Transactions on Big Data . Kai has published two Apress books “Expert Oracle RAC12c” and more recent “Machine Learning for Oracle Database Professionals” Kai has been a Quest/IOUG conference committee member, IOUG RAC SIG president and IOUG Cloud SIG co-founder and the current vice president. Kai has been an Oracle ACE Director since 2010 and was featured as Oracle ACE Spotlight. He also received the 2011 OAUG Innovator of Year award the 2012 Oracle Excellence Award: Technologist of the Year: Cloud Architect by Oracle Magazine. |
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