Leverage the key capability of Oracle Database 23ai to design and manage Artificial Intelligence (AI) workloads using the new Oracle AI Vector Search feature. Learn how to create tables with vector data type, load data, and the query them based on semantics, rather than keywords. You will learn to perform semantic search on unstructured data by combining it with your relational data in one single system. With hands-on practices, you will be be able to reinforce the learning of the new AI Vector Search feature and its capabilities.
I Course Overview
1 Overview of Oracle AI Vector Search
2 Why use Oracle AI Vector Search?
3 Oracle AI Vector Search Workflow
4 Running Basic Queries on Vectors
5 Vector Indexes and Memory
6 DML Operations on Vectors
7 Vector DDL
8 Creating and Finding the Nearest Vectors
9 Finding the Closest Vectors
10 Narrowing Search Results
11 Testing Other Distance Functions
12 Testing Other Vector Functions
13 Course Conclusion