Building AI-Powered Database Apps with Hibernate Vector and the Oracle Database 23ai — Part 1 — Using Hibernate Vector module with Oracle Vector Data

by Juarez Junior

Introduction — Vector Data Type in Hibernate Vector Module

Vector search is rapidly transforming how we build intelligent, data-driven applications — think recommendation engines, semantic search, and AI-powered analytics.

Combining Hibernate with Oracle Database 23ai and its advanced support for vector data types opens a world of possibilities with Hibernate Vector. This powerful extension enables Hibernate to work with Vector Databases such as Oracle Database 23ai.

This blog post explains how to combine Hibernate Vector, Jakarta Persistence, and the Oracle Database 23ai to create innovative GenAI applications.

Part 1 will introduce the Hibernate Vector module and how to use it with Oracle Database 23ai by creating Hibernate DB apps that work with vectors, and tables with embeddings of the VECTOR data type.

Part 2 will show you how to implement similarity search using the Hibernate Vector module, Oracle AI Vector Search, Oracle JDBC, and the Oracle Database 23ai.

So, without further ado, let’s get started!