Oracle AI Vector بحث Deep Dive ELS

Module 1: Course Overview

• Course Overview
• Agenda
• Audience
• Learning Objectives
• Objectives

Module 2: Refresher – Vector & Vector Embeddings

• Vector Data Type
• Vector Embeddings
• Generate Vector Embeddings
• Vector Data Type Review

Module 3: Refresher – Exact Similarity Search

• Similarity Search
• Exact Similarity Search
• Euclidean and Euclidean Squared Distances
• Cosine Similarity
• Dot Product Similarity
• Manhattan Distance
• Hamming Similarity
• Vector Distance Operand

Module 4: Refresher – Approximate & Multi-Vector Similarity Search

• Approximate Similarity Search
• Multi-Vector Similarity Search
• Comparison with Exact Search

Module 5: Refresher – AI Vector Search Fundamentals

• Vector Index Overview
• Why Do We Need Vector Indexes?
• Vector Pool
• In-Memory Neighbor Graph Vector Index (HNSW)
• Neighbor Partition Vector Index (IVF)
• Creating a Basic Vector Index & Important Parameters
• Using Vector Indexes & Monitoring Accuracy
• Important Limitations & Best Practices

Module 6: RAG (Retrieval Augmented Generation) Overview

• RAG Agenda Topics
• Vector Data Workflow
• RAG Workflow Explanation
• Interacting with LLMs | Complete the RAG Pipeline
• RAG with Oracle AI Vector Search

Module 7: Using Embedding Models with Oracle AI Vector Search

• Embedding Models Overview
• VECTOR_EMBEDDING() Function
• Create Table & Vectorize a Table
• Similarity Search
• Changing Embedding Models

Module 8: Oracle Vector Search & OCI Generative AI Service (Python)

• OCI Gen Service Overview
• Summary of Steps
• Load Sources & Text Chunks
• Vectorize Data
• Create and Call Functions

Module 9: RAG with Oracle AI Vector Search & OCI Gen AI Service (PL/SQL)

• Process Overview
• Step 1: Text Extraction and Preparation
• Step 2: Embedding Models and Vectors
• Step 3: Similarity Search and Response Generation
• Step 4: Build the Prompt
• Step 5: Invoke the Chain

Module 10: Oracle AI Vector Search Supporting Features

• Exadata AI Storage
• GoldenGate Microservices 23ai
• Distributed AI Processing with Vector Replication
• Generative AI with Your Own Business Data
• Real-Time Vector Hub for GenAI
• Actionable AI/ML from Streaming Pipelines
• SQL Loader & Data Pump
• Summary: Why GoldenGate 23ai for AI?

Module 11: Course Wrap-Up

• Agenda Review
• Learning Outcomes