Oracle AI Vector Search
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Course Materials

Slides v7.0
Activity Guide v9.0
Vector Database General Concepts

What is Vector Database?
What are Vector Embeddings?
What is Vector Search?
Preparing the Practice Environment

Link to download Oracle Database 23ai pre-built VM
Importing and Configuring the VM
Overview of Oracle AI Vector Search

Overview of Oracle AI Vector Search
Storing Vector Embeddings

About Storing Vector Embeddings
Lab: Storing Vectors, Performing DDL & DML Operations on Vector Data
Generating Vector Embeddings

About Generating Vector Embeddings
Lab Practice: Generating Embeddings within Database by importing pretrained ONNX models
Lab Practice: Generating Embeddings using Third-Party Models leveraging Third-Party REST APIs
Lab Practice: Generating Embeddings using Local REST Provider Ollama
Vector Distance Functions and Metrics

Overview of Vector Distance Functions and Metrics
Lab Practice: Vector Distance Functions and Metrics
Vector Indexes

Overview of Vector Indexes
Lab Practice: Creating Vector Indexes
Similarity Search and Hybrid Search

Exact Similarity Search
Approximate Similarity Search
Multi-Vector Similarity Search
Hybrid Search
Lab Practice: Vector Search

Slides v7.0

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