Overview of Generating Embeddings from AI Models

Overview of Generating Embeddings from AI Models

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Oracle Database 23ai : Vector Database & Vector Search

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Course Materials

Slides-v2.0

Activity Guide - v5.0

General Concepts about Vector Databases

What is Vector Database?

Vector Embeddings and Vector Search

Distance Metrics and Vector Indexes

Configuring the Practice Environment

Link to download pre-built VM Image

Preparing the Practice Environment

Overview of Oracle AI Vector Search

What is Oracle AI Vector Search?

Basic Operations on Vectors - DDL, DML Operations

Overview of Performing Basic Operations on Vectors

Lab Practice: Performing DDL, DML Operations on Vectors

Vector Distance Functions and Metrics

Overview of Vector Constructors and Vector Distance Functions

Lab Practice: Vector Constructors and Vector Distance Functions

Vector Indexes

Vector Indexes and Hybrid Indexes

Lab Practice: Creating Vector Indexes

Vector Search

Overview of Oracle AI Vector Search

Lab Practice: Oracle AI Vector Search

Generating Vector Embeddings using AI Models

Overview of Generating Embeddings from AI Models

Lab Practice: Generating Embeddings from AI Models