Episode Details
Back to EpisodesOracle AI Vector Search: Part 1
Description
00:00
Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started!
00:26
Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs here at Oracle University. Joining me as always is our Team Lead of our Editorial Services, Nikita Abraham.
Nikita: Hi everyone! Thanks for tuning in over the last few months as we've been discussing all the Oracle Database 23ai new features. We're coming to the end of the season, and to close things off, in this episode and the next one, we're going to be talking about the fundamentals of Oracle AI Vector Search. In today's episode, we'll try to get an overview of what vector search is, why Oracle Vector Search stands out, and dive into the new vector data type. We'll also get insights into vector embedding models and the vector workflow.
01:11
Lois: To take us through all of this, we're joined by Brent Dayley, who is a Senior Principal APEX and Apps Development Instructor with Oracle University. Hi Brent! Thanks for joining us today. Can you tell us about the new vector data type?
Brent: So this data type was introduced in Oracle Database 23ai. And it allows you to store vector embeddings alongside other business data. Now, the vector data type allows a foundation to store vector embeddings.
01:42
Lois: And what are vector embeddings, Brent?
Listen Now
Love PodBriefly?
If you like Podbriefly.com, please consider donating to support the ongoing development.
Support Us