From Thousands of Tables to an Ontology Graph: Building an AI Agent with Doris and PuppyGraph

About this session

AI agents increasingly need to understand relationships across thousands of enterprise tables, but traditional Text-to-SQL approaches struggle with complex, multi-hop relationships. In this talk, we will show how a PuppyGraph-powered agent automatically discovers entities, relationships, and semantics across thousands of tables to generate an ontology graph. PuppyGraph then queries the existing Apache Doris data directly as a graph—without ETL, data migration, or creating a second copy of the data. We will demonstrate how this architecture enables AI agents to combine SQL analytics with graph traversal for complex questions across large-scale enterprise data.

Speaker

Weimo Liu

CEO · PuppyGraph

Dr. Weimo Liu serves as the CEO of PuppyGraph. He was a former software engineer within Google's F1 team and a research scientist at TigerGraph. In these capacities, he specialized in advancing query languages and engines. Dr. Liu earned his PhD degree from GWU, and his BS degree from Fudan University. Notably, he actively participates as a program committee member and reviewer for esteemed conferences like SIGSPATIAL, TKDE, and KDD. His contributions extend to publications in VLDB and ICDE. He also served on the Expert Group for GQL at the International Committee for Information Technology Standards (INCITS).

LinkedIn ↗ · Weimo Liu