| Course Date | Start Time | End Time | Time Zone | Location | Days | Price | |
|---|---|---|---|---|---|---|---|
| Call for In Class or Live Virtual Dates | 2 | $2,700 USD | Purchase |
Oracle Database 23ai: Oracle AI Vector Search Fundamentals Live Class
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 able to reinforce the learning of the new AI Vector Search feature and its capabilities.
Duration: 2 Days
Prerequisites
- Experience with Oracle database
Audience
- Beginners that are just starting out with databases
- Developers that are required to maintain their development databases
Learning Objectives
- Vector search overview
- Benefits
- Vector Datatype
- Vector embedding models
- Vector workflow
- Basic queries on vectors
- Vector indexes
- Vector memory
- Vector DML and DDL
- Vector functions and filtering
Topics
- Overview of Oracle AI vector search
- Why use Oracle AI vector search?
- Oracle AI vector search workflow
- Running basic queries on vectors
- Vector indexes and memory
- DML operations on vectors
- Vector DDL
- Creating and finding the nearest vectors
- Finding the closest vectors
- Narrowing search results
- Testing other distance functions
- Testing other vector functions
