Prashanth Rao

Prashanth Rao, an AI engineer at KuzuDB, delves into the cutting-edge features of their embeddable graph database. He explains how KuzuDB tackles performance issues with innovative columnar storage and unique join algorithms. The conversation reveals KuzuDB's potential for enhancing graph applications, especially in edge computing and ephemeral workloads. Prashanth also discusses the growing interest in graph databases for AI integration and how Kuzu can seamlessly work with other data formats like Iceberg and Parquet.

In this conversation, Prashanth Rao, an AI engineer at Kuzu with a wealth of knowledge in graph databases, reveals the groundbreaking features of Kuzu. He explains how its columnar, strictly-typed architecture enhances query speed and scalability. Delving into knowledge graphs, Prashanth discusses how large language models (LLMs) streamline graph construction from unstructured data and enable seamless querying via natural language. Insights into integrating Kuzu with existing databases and the future roadmap of the technology make this a must-listen for AI and data enthusiasts!