Dev Conference by Neo4j
You only need to register once to attend all sessions.
Session Track: Applications
Session Time:
Session description
We all want to use GenAI to give ourselves superpowers, right? It might be fun to build these innovative applications, but how do we actually put them into production? What sorts of things do we need to think about or plan for? In this session, the presenters will build a quick RAG application using Spring AI and Neo4j, highlighting the differences from a traditional, non-AI approach. We will see how Spring AI extends all the things we know and love about the Spring ecosystem and how its history with Neo4j seamlessly blends into this GenAI era. We’ll also talk deployment as we look at packaging, hosting, and steps for running our smart app. From gotchas to developer-friendly features, join us to simplify your next GenAI app’s path to production!
Developer Advocate, Neo4j
Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.
Principal Cloud Developer Advocate for Java/JVM Languages, Microsoft
Mark Heckler, MBA is a software developer & Principal Cloud Developer Advocate for Java/JVM Languages at Microsoft, conference speaker, Java Champion, and Kotlin Developer Expert focused on developing innovative production-ready software at velocity for cloud and edge computing platforms. He has worked with key players in numerous industries and public sector organizations to develop and deliver critical capabilities on time and on budget. Mark is an open source contributor and author of Spring Boot: Up and Running (https://bit.ly/springbootbook) and can be found on Twitter/X @mkheck.
