LJC Meetup at Neo4j - Smarter Search with Spring AI and Neo4j

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About this event
We're excited to invite you to our next Meetup, co-hosted with neo4j!

SPEAKER 1
Akmal Chaudhri, Neo4j

Title: Smarter Search with Spring AI and Neo4j

Abstract:
In this session, we'll walk through a Spring Boot app that integrates Spring AI with Spring Data Neo4j to build intelligent search over real Goodreads book data. We'll cover how to set up a Neo4j vector store, generate embeddings via OpenAI and expose results through a REST API. We'll also explore how graph search and vector search work together and what it takes to configure and connect these pieces in a Spring application. If you've been wondering how to bring GenAI capabilities into your existing Spring stack, this talk offers a practical, code-first look at how it all fits together.

Bio:
Akmal is a technical leader and evangelist with extensive experience across databases, AI and developer enablement. Specialised in technical writing, education and community strategy, he has a proven ability to translate complex technology into clear, engaging narratives that inspire learning and adoption. He is a regular international speaker, published author and contributor to thought leadership in data systems, AI and developer education.

SPEAKER 2
Matt Scott, CTO, Nimbus Pay & Alex Callinan, Data Scientist, Nimbus Pay

Title: Integrating Machine Learning models with Java

Abstract:
This presentation walks Java developers through the full journey of integrating machine learning into their applications. It then weighs up the pros and cons of two practical deployment paths.

Matt Scott bio:
Matt is a cloud-native architect and fintech leader with over twenty years building secure, scalable payment platforms, including containerized JVM-based systems. As CTO of NimbusPay Technologies, he designs cloud-agnostic card issuing solutions, with deep expertise in Java architecture, distributed systems, and DevSecOps.

Alex Callinan bio:
Alex is a Data Scientist at NimbusPay Technologies, where he builds and ships machine learning models into production. He's passionate about bridging the gap between trained models and the real-world applications that put them to work.

This event is organised by RecWorks on behalf of the London Java Community.

The London Java Community is sponsored by Hazelcast, Neo4j, Redis, and Discover