Developers planning to adopt GenAI often want to experiment with ways to use it to extract the most value from their data. In this session, we’ll show how the Oracle AI Microservices Sandbox helps developers apply techniques like Retrieval Augmented Generation (RAG), Agents, and Evaluation to develop and deploy production-quality chatbots. We’ll also share an update on the latest enhancements to Oracle AI Vector Search that boost performance through enhancements like transparent scaling of vector processing across RAC nodes, and reduce complexity by allowing users to, for example, easily combine business data search with unstructured data search.

Agenda:

In this session, we will start with a quick overview of the most important concepts and challenges for building a successful production-quality chatbot, then we will jump into a demo of the Oracle AI Microservices Sandbox - our new zero-code tool for rapid experimentation and iteration with any LLM, any embedding model and any data.  Learn how you can use the sandbox to help your customers implement techniques like RAG and agents using the Oracle AI Vector Store.  Ask questions directly tro our developers and data scientists in the live Q&A!

Target audience:

Anyone who is interested in working with their customers to implement chatbots, RAG, Generative AI  and/or vector search.

Speakers:

 Corrado De Bari Developer Evangelist
 John Lathouwers Developer Evangelist
 Mark Nelson Developer Evangelist