About Storing Vector Embeddings

About Storing Vector Embeddings

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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