From Data to Insights: Demystifying Oracle AI with Vector Search, LLM, and RAG

Session Abstract:
This session explores the integration of Artificial Intelligence within Oracle ecosystems, focusing on emerging technologies such as Vector Search, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). It begins by highlighting the critical role of data—its integration, quality, and preprocessing—in enabling AI applications in Oracle databases. The session then delves into vector search, explaining its advantages over traditional methods and demonstrating its use in real-world scenarios like semantic search and recommendation systems. It continues with the application of LLMs in Oracle environments, showcasing how models like LLaMA and Cohere can be used for summarization, sentiment analysis, and automated reporting through Oracle Cloud Infrastructure. Finally, the session covers RAG, demonstrating how vector retrieval and language generation combine to provide accurate, context-rich outputs. Live demos throughout the session provide practical insights into building and leveraging AI-driven solutions within Oracle.
Speaker Bio:
I'm Kshitij Joy(OCM / Oracle ACE Pro) – a passionate educator, consultant, and Subject Matter Expert (SME) in Generative AI, OCI, Microsoft Azure, and enterprise AI solutions. With over 20+ years of experience as a Cloud Architect & Oracle Database Consultant working across global enterprises, I specialize in helping organizations navigate their AI enablement journey by building scalable, production-ready solutions using cutting-edge technologies like OpenAI, Azure AI, Azure AI Search, and Agent-based frameworks such as LangChain and LlamaIndex.

https://www.aioug.org/events/from-data-to-insights-demystifying-oracle-ai-with-vector-search-llm-and-rag