2026 DB&T Oracle Database January Meet-Up

We look forward to having you join us for our upcoming Oracle Database SIG meetup.

These conversations are created with you in mind—your challenges, your insights, and your successes. If there’s a topic you’d like to see highlighted at an upcoming meetup, or if you’ve implemented something innovative or found a creative solution you’d like to share, we’d love to hear from you!

Leveraging SQL Property Graph for Graph RAG in Generative AI with Kai Yu

In today’s data-driven landscape, understanding relationships between entities is crucial. A property
graph data model represents 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 AI and machine learning models based on relational data. The Oracle database 23ai introduces
robust property graph support in SQL.

In this session, attendees will explore practical examples of writing relationship-based queries using
Oracle SQL’s new GRAPH_TABLE operator from relational tables, as well as how to leverage JSON Data
Types for enhanced graph queries and other various use cases that highlight how developers can
effectively utilize SQL property graphs for advanced analytics and machine learning.

We will explore an important topic related to property graphs: the application of graph database 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). Using some examples, we will examine how the Graph RAG Works and
how the Graph RAG can be combined with the vector-based traditional RAG. Furthermore, we will
discuss how 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

Just reach out to Michaela (michaela.sturgill@questoraclecommunity.org)  —we’re always looking to feature voices from the community.

Thank you for joining and for being a valued part of this community. We’re glad you’re here!