Table of Contents
- Title and Copyright Information
- About This Content
-
Part I Introduction to Oracle AI Data Platform
- 1 Overview of Oracle AI Data Platform and Workbench
- 2 Features of Oracle AI Data Platform Workbench
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3
Get Started with Oracle AI Data Platform Workbench
- Requirements for AI Features
- Storage Encryption Options
- Create Your First AI Data Platform Workbench
- Access an Oracle AI Data Platform Workbench
- Access Oracle AI Data Platform Workbench from a URL
- Understanding the Workspace and UI Flow
- Next Steps After Setup
- Edit an AI Data Platform Workbench
- Delete an AI Data Platform Workbench
- Session Management
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Part II Data Engineering
- 4 About Medallion Architecture
- 5 Ingest Data
- 6 Workspaces
- 7 Notebooks
- 8 Workflows
- 9 Compute
- 10 Connect to Compute
- 11 Streaming
- Part III Integration
- Part IV Machine Learning (Preview)
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Part V AI Agents
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17
Agent Creation
- Multi-agent Systems and Supervisor Patterns
-
About the Visual Flow Canvas
- Create an Agent
- Add Chat Trigger and Agent to Visual Builder Canvas
- Configure a Supervisor Agent
- Suggested Supervisor Instructions
- Configure Supervisor Agent Memory and State Isolation
- Models Parameter Tab
- Add Guardrails to an Agent
- Add Executor Agents and Tools to an Agent
- Executor Agent Configuration
- Checklist for Agents through Visual Builder
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Agents Through Code
- Build an Agent Through Code by Upload
- Build an Agent Through Code by Creating New Code
- Set an Entry File for Agents through Code
- Set a Dependency File for Agents through Code
- Test Agent Code
- Agent Skills in Coding Experience
- Add a New Skill
- Add a New Executable Capability to an Existing Skill
- Agent Skills Troubleshooting
- Example: Complete Agent Skill
- Agent Testing
- 18 About Agent Tools
- 19 Knowledge Bases
- 20 Agent Memory
- 21 Session Variables
- 22 Guardrails
- 23 Agent Deployment
- 24 Invoke a Deployed Agent
- 25 Monitor Agents
- 26 Agent Operations
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17
Agent Creation
-
Part VI Data Governance
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27
Manage with Master Catalog
- Master Catalog
- Use Cases for Master Catalog
- Standard Catalogs
-
External Catalogs
- Create an External Catalog
- Create an External Catalog for Private Networks
- Refresh External Data Catalogs
- Refresh External Catalogs with SQL
- Edit an External Catalog Description
- Rename an External Catalog
- Edit an External Catalog Configuration
- Delete an External Catalog
- How to Delete Data from Tables in an External Catalog
- Schema
- Tables
- Volumes
- Cross-Tenancy External Tables and Volumes
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28
Lineage (Preview)
- Entity and Column Lineage (Preview)
- View Data Lineage (Preview)
- View Lineage for Specific Data Columns (Preview)
- View Details for a Lineage Artifact (Preview)
- Export Impact Analysis (Preview)
- Filter Lineage Flow Diagram (Preview)
- Search for Artifacts in Lineage Flow Diagram (Preview)
- Change Lineage Flow Depth (Preview)
- Share a Lineage Flow Diagram (Preview)
- 29 Credential Store (Preview)
- 30 Audit Log
- 31 Auto Populate Catalog
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32
Share Data
- Data Sharing
- Create a Share
- Modify a Share
- Delete a Share
- View Share Details
- Add an Asset to a Share
- Remove an Asset from a Share
- Add Recipients to Data Sharing
- Add an Existing Recipient to a Share
- Manually Activate a Recipient
- Resend Activation Link to a Recipient
- Remove Recipient from a Share
- Modify a Recipient
- View Recipient Details
- Delete a Recipient
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27
Manage with Master Catalog
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Part VII DevOps
-
33
Git Integration (Preview)
-
Git Folders in Oracle AI Data Platform Workbench (Preview)
- Create a Git Folder (Preview)
- Edit Git Folder (Preview)
- Delete Git Folder (Preview)
- Modify Git Folder Settings (Preview)
- View Git Folder History (Preview)
- Create Git Branch (Preview)
- Delete Git Branch (Preview)
- Git Pull (Preview)
- Git Push (Preview)
- Merge Git Branches into Main (Preview)
- Git Rebase (Preview)
- Git Reset (Preview)
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Git Folders in Oracle AI Data Platform Workbench (Preview)
- 34 Bundles and CI/CD (Preview)
- 35 Oracle AI Data Platform (AIDP) Developer Extension
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33
Git Integration (Preview)
-
Part VIII Security
-
36
Permissions Model
- About Permissions
- Workspace Permissions
- Workspace Folder Permissions
- Workspace File Permissions
- Compute Cluster Permissions
- Job Permissions
- Notebook Permissions
- Master Catalog Permissions
- Standard Catalog Permissions
- External Catalog Permissions
- Schema Permissions
- Table Permissions
- Volume Permissions
- Agent Permissions
- AI Compute Cluster Permissions
- Knowledge Base Permissions
- Git Folder Permissions (Preview)
- Bundle Permissions (Preview)
- Credential Permissions (Preview)
- 37 IAM Policies for Oracle AI Data Platform Workbench
- 38 Roles
- 39 Network Sources
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36
Permissions Model
- Part IX Administration
-
Part X Resources
- 45 Use APIs, SDK, and CLI
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46
Reference
- SQL Grammar
-
Aidputils for Agents and Tools Sample Code
- Agent without Tools
- SQL Tool Test
- Prompt (LLM) Tool Test
- Custom Code Tool - Hello World
- Custom Code Tool - Developer Toolkit
- Agent with Tool Registration in Oracle AI Data Platform Workbench
- Observability: Logging, Tracing, and Metrics
- Agent Instantiation and Usage with Aidputil Packages
- Guardrails Configuration
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Agent LangGraph Code Samples
- Hello World with LangGraph
- ReAct Agent with Prompt Tool LangGraph Sample Code
- ReAct Agent with RAG Tool LangGraph Sample Code
- ReAct Agent with SQL Tool LangGraph Sample Code
- ReAct Agent with Custom Tools LangGraph Sample Code
- Multi-agent System – Supervisor Pattern Sample Code
- Remote Oracle Analytics Cloud MCP Server Connection Sample Code
- 47 Known Issues