2026 DB&T Oracle Database August Meet-Up

AI Vector Search is an exciting new technology in Oracle AI Database that enables similarity search on unstructured data. This session will describe how AI Vector Search works. We will start out by explaining what similarity search is, how vectors are used and then discuss how AI Vector Search works with Oracle AI Database. We will cover the new VECTOR data type, how embedding models are used to create vectors, how vectors are used and how vector indexes can significantly speed up approximate similarity searches. We will finish up with a short demo of an APEX app that uses similarity search to find images based on a text description or another image.

Bio:
Andy Rivenes is a Product Manager at Oracle for Database In-Memory and AI Vector Search. Prior to that Andy was a Product Manager for Heat Map, Automatic Data Optimization, SecureFiles and DBFS. Andy has spent a large part of his career managing Oracle databases and he now spends his time helping customers understand Database In-Memory and AI Vector Search. He has authored extensive information about Database In-Memory and AI Vector Search through blogs, conferences, and Hands on Labs. You can follow him on X.com as @TheInMemoryGuy or www.linkedin.com/in/andy-rivenes.

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