Prashanth Rao
Prashanth is an AI engineer at Kùzu based in Toronto. In recent years, he's focused heavily on data modeling and engineering using relational, graph and vector databases that power a variety of machine learning and AI applications. In his spare time, he enjoys engaging with the Python/Rust community and blogging @ thedataquarry.com.
Sessions
This talk will go over an application scenario that brings together the benefits of vector search with graph traversal. Knowledge graphs (or more generally, graphs), have long been used to model structured data that capture the connection between entities in the real world. Recently, there has been a lot of interest in the topic of Graph RAG, which aims to use graphs as part of the retrieval process in RAG, to enhance the outcomes. The talk will cover a practical example to showcase how Python developers can leverage the PyData ecosystem alongside two open source, embedded databases: Kùzu for the graph component, and LanceDB for the vector component of the retrieval.