Generative AI (GenAI) has rapidly advanced in recent years and is increasingly finding its way into practical software development. What was once considered a research topic is now becoming a tool for everyday developers — including in the Java space. Vector embeddings play a key role here: they enable functions like semantic search, text classification, or recommendation systems, opening up entirely new application possibilities.
But how can these technologies be integrated into existing Java applications without the need for complex frameworks or external cloud services?
Using Vector Embedding with JDBC
At the upcoming JCON EUROPE 2025, the workshop “Using Vector Embedding Models with Java Apps” offers a practice-oriented look at exactly this question. It will demonstrate how the new vector embedding features of Oracle Database can be used directly from Java applications — lean, efficient, and natively via JDBC.
What Participants will learn:
- A rock-solid understanding of vector embeddings – what they are, why they matter, and how they’re used to power real-world AI apps.
- Connecting Java apps with Oracle Database’s vector capabilities using plain JDBC – no fancy frameworks required.
- Hands-on experience building an intelligent search feature using text similarity and embeddings – the core of many GenAI use cases.
- A deployable prototype you can show off back at work – and extend into production.
- Best practices and patterns to integrate vector search into your enterprise apps.
Your Experts: Oracle Specialists from the Field
The hands-on will be led by Marta Tolosa, Application Development Specialist at Oracle, and Sydney Nurse, Data Development Specialist at Oracle EMEA. Both bring many years of experience in developing data-driven applications and complex system architectures — practice-oriented, technology-agnostic, and with a clear focus on real-world use cases.
Relevance for Java Teams
This topic is aimed at Java developers who want not only to understand GenAI technologies theoretically but also to integrate them practically into their own projects. The new database features offer exciting prospects: from intelligent search to document analysis and personalized recommendations — locally, data-secure, and without vendor lock-in.
For companies, this means not only new functionality but also greater control over sensitive data and infrastructure.
Registration and Participation
The number of participants for “Using Vector Embedding Models with Java Apps” is limited. Early registration is recommended. Registration is available here.
