Augmenting your Quarto website with Retrieval-Augmented Generation (RAG) using Select AI in Autonomous Database

Abstract

Retrieval augmented generation (RAG) combines vector search with generative AI – enabling more relevant and up-to-date responses from your large language model (LLM). In this session, we highlight augmenting a Quarto website to accept a natural language prompt and display the response generated using an LLM, text transformer, and vector store. Specifically, this scenario uses the Select AI and AI Vector Search features of Oracle Autonomous Database 23ai. Select AI automates vector index creation leveraging AI Vector Search directly in your database. Select AI automates the orchestration process to enable RAG. Our scenario leverages R Consortium content from blogs and their new Quarto website for the demonstration.

Speakers

Mark Hornick, Senior Director, Oracle Machine Learning

Mark Hornick is senior director of product management for Oracle Machine Learning. Mark has more than 20 years of experience integrating and leveraging machine learning with Oracle software as well as working with internal and external customers to apply Oracle’s machine learning technologies.

He has been involved with R technology for the past 15 years.  Mark is Oracle’s representative to the R Consortium and is an Oracle Adviser of the Analytics and Data Oracle User Community. He has been issued seven US patents. Mark holds a bachelor’s degree from Rutgers University and a master’s degree from Brown University, both in computer science. Follow him on Twitter @MarkHornick and connect on LinkedIn.

Sherry LaMonica, Consulting MTS, Oracle Machine Learning

Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems with R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as pharmaceutical research, financial analysis, manufacturing, and healthcare IT.

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