In this session, you will learn how to build a complete RAG workflow in Java using Semantic Kernel for Java, the Semantic Kernel Oracle Connector, and Oracle AI Database 26ai as a vector store.

The session walks through project setup, dependency configuration, embedding generation, vector storage, and semantic search using JDBC integration.
Attendees will see how retrieved context is injected into prompts to produce more accurate, grounded responses, enabling Java applications to move beyond static LLM interactions and toward context-aware intelligence.