Oracle AI Agent Platform and Services
What this domain tests
This domain checks that you can map agent capabilities to Oracle services rather than treating the platform as one product. Know the roles of model access, managed RAG, database vector search, integration, identity, and observability.
Core rules
- OCI Generative AI provides access to foundation models through a managed service; it is the model layer, not the whole agent runtime.
- OCI Generative AI Agents is a managed retrieval-augmented generation service: you create a knowledge base, ingest documents, and connect a model to answer with retrieval. It does not by itself provide arbitrary business-action planning.
- Oracle Autonomous Database includes AI Vector Search for storing embeddings and running similarity queries; Select AI lets natural-language requests be translated into SQL for database tasks.
- Oracle Integration Cloud and API gateways expose business systems as callable tools; Identity Domains, Vault, Logging, and Monitoring supply auth, secrets, audit, and telemetry.
- In Fusion Cloud Applications, AI Agent Studio is where business users and developers configure agents that operate on application data and workflows, subject to application roles.
Worked example
A benefits team wants an agent that answers HR policy questions and opens a ticket when the policy is silent. The design uses OCI Generative AI Agents with an HR policy knowledge base for answers, Autonomous Database vector search if the team needs custom retrieval over case notes, Integration Cloud to call the ticketing API, and Identity Domains for user context. The reasoning is separation of concerns: answering is retrieval, ticket creation is an integration action, and authorization is identity.
Traps
Do not claim Generative AI Agents autonomously executes ERP transactions. Do not confuse Select AI's NL-to-SQL with an agent that can approve requests. Do not ignore regional model availability or service limits.