Session

Mastering Oracle’s Contribution to LangChain4J for Next-Gen Java Applications

Discover how Oracle's Langchain4j contribution empowers Java developers to integrate cutting-edge AI capabilities into their applications seamlessly. It provides a unified API for various LLM providers and the Oracle Database 23ai as a vector database by supporting a simple yet powerful abstraction.

We'll explore the langchain4j-oracle module, highlighting its seamless support for Oracle AI Vector Search and the OracleEmbeddingStore, which efficiently stores and retrieves vector embeddings.

Attendees will learn to use the VECTOR data type and add Oracle AI Vector Search to create GenAI-based solutions, exploring a practical use case scenario.

Juarez Junior

Software Architect / Engineer, Solutions Architect, Developer Advocate

Dublin, Ireland

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