Harmonizing AI and Graphs: Building Intelligent Music Applications with Neo4j and Spring AI

Session Track: App Dev

Session Time: 04:00 am - 04:30 am November 6

Session description

What happens when you combine years of Neo4j graph modelling expertise with Spring AI’s conversational capabilities? The speaker will share her experience from graph database expert to graph-AI-powered application builder, combining Spring AI and Neo4j to create intelligent music experiences. The future of music applications lies in understanding both explicit relationships and implicit patterns. You will discover how to build a graph foundation, leverage AI to enrich your data, and implement Spring AI integration that transforms user requests like "Show me artists influenced by Pink Floyd who also worked with electronic music producers" into graph queries. The session will conclude with a live demonstration of an AI-powered music discovery application that showcases these concepts in action.

Speaker

Luanne Misquitta

CTO, cMatter

Luanne Misquitta is CTO at cMatter and one of the world’s most experienced Neo4j consultants. She discovered graph databases and Neo4j in 2009 while researching techniques to model and traverse connected data. Since that defining moment in her career, she has been a graph advocate, key community contributor, and frequent speaker at GraphConnect. As a Neo4j consultant and instructor, she spent a decade consulting with clients around the world on graph modelling, Cypher, and Neo4j best practices. In her previous life, she was an open source committer and a core contributor to the Neo4j OGM and Spring Data Neo4j 4 frameworks. She is co-author of the book "Neo4j: The Definitive Guide," published by O'Reilly.