# Enterprise AI

> Navigate Oracle Cloud Infrastructure's Enterprise AI services: choose models, build agents with RAG and tools, estimate costs, secure access, and integrate with Oracle Database, APEX, and other platform services.

- Skill: `oracle/enterprise-ai` (Agent Skill, multi-file: 11 files)
- Install (CLI): `npx skillmds@latest add oracle/enterprise-ai`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oracle/enterprise-ai/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML, DevOps & Infra, Agent Building, Cloud Platforms, RAG & Embeddings
- Tags: Cost Estimation, Fine Tuning, Generative Ai, Model Endpoints, Oci, Oracle Cloud, Rag, Vector Search
- Author: Oracle (https://skillmd.com/u/oracle), verified publisher
- Updated: 2026-07-06
- Page: https://skillmd.com/skills/oracle/enterprise-ai

---


# OCI Enterprise AI Skills

Use this OCI subdomain as the front door for Oracle Enterprise AI work. Start here when the user goal is about the AI outcome rather than a specific Oracle service name.

## How to Use This Domain

1. Start with the user journey table below.
2. Read only the smallest topic file that matches the task.
3. Route database-owned implementation details to `db/features/` instead of duplicating Select AI, vector search, or `DBMS_VECTOR` guidance.

## Directory Structure

```text
oci/enterprise-ai/
├── models/
├── agent-workflows/
├── governance/
├── data/
├── cost/
├── integrations/
└── agents/
    └── openai.yaml
```

## User Journey Routing

| User Goal | Start With |
|-----------|------------|
| Choose or invoke OCI-hosted models, embeddings, rerank, endpoints, or dedicated serving | `models/enterprise-ai-models.md` |
| Import, fine-tune, host, or lifecycle-manage a custom model | `models/custom-and-imported-models.md` |
| Build an API-first agent with OpenAI-compatible OCI APIs | `agent-workflows/responses-api-agents.md` |
| Deploy a packaged agent runtime on OCI-managed infrastructure | `agent-workflows/hosted-applications.md` |
| Choose the right tool pattern: File Search, Code Interpreter, Function Calling, MCP, or SQL Search | `agent-workflows/agent-tools.md` |
| Ground answers in documents, vector stores, SQL, or Oracle Database vector search | `data/rag-and-search.md` |
| Estimate OCI Generative AI or OCI Generative AI Agents cost drivers | `cost/cost-estimation.md` |
| Secure model or agent access with IAM, private networking, OAuth, guardrails, or audit controls | `governance/private-endpoints-and-governance.md` |
| Connect Enterprise AI to Autonomous Database, APEX, Oracle Integration, Fusion, or OCI AI Services | `integrations/oracle-platform-integrations.md` |

## Key Starting Points

- `oci/enterprise-ai/models/enterprise-ai-models.md`
- `oci/enterprise-ai/models/custom-and-imported-models.md`
- `oci/enterprise-ai/agent-workflows/responses-api-agents.md`
- `oci/enterprise-ai/agent-workflows/hosted-applications.md`
- `oci/enterprise-ai/agent-workflows/agent-tools.md`
- `oci/enterprise-ai/data/rag-and-search.md`
- `oci/enterprise-ai/cost/cost-estimation.md`
- `oci/enterprise-ai/governance/private-endpoints-and-governance.md`

## Common Multi-Step Flows

| Task | Recommended Sequence |
|------|----------------------|
| Build a governed enterprise assistant | `responses-api-agents` -> `agent-tools` -> `rag-and-search` -> `cost-estimation` -> `private-endpoints-and-governance` |
| Move from model experimentation to production serving | `enterprise-ai-models` -> `cost-estimation` -> `private-endpoints-and-governance` |
| Bring a custom model into OCI serving | `custom-and-imported-models` -> `enterprise-ai-models` -> `cost-estimation` -> `private-endpoints-and-governance` |
| Deploy a packaged agent runtime | `responses-api-agents` -> `hosted-applications` -> `cost-estimation` -> `private-endpoints-and-governance` |
| Build RAG over files | `rag-and-search` -> `agent-tools` -> `cost-estimation` -> `responses-api-agents` |
| Build RAG over Oracle Database | `rag-and-search` -> `db/features/vector-search.md` -> `db/features/dbms-vector.md` -> `db/features/select-ai.md` when in-database generation is needed |
| Add AI to APEX or Autonomous Database apps | `oracle-platform-integrations` -> relevant `db/features/` or `apex/apexlang/` guidance |
| Design production access controls | `private-endpoints-and-governance` -> `enterprise-ai-models` or `responses-api-agents` depending on workload |

## Scope Boundaries

- Keep cloud-side model, agent, tool, endpoint, hosting, and governance decisions in this domain.
- Use `db/features/select-ai.md`, `db/features/vector-search.md`, `db/features/dbms-vector.md`, and `db/features/ai-profiles.md` for Oracle Database-owned AI implementation.
- Use `apex/apexlang/` for APEX application artifact generation and APEX AI agent component templates.
- Prefer official Oracle documentation for model availability, supported tools, IAM verbs, endpoint formats, and service limits because Enterprise AI services change frequently.

## Sources

- https://docs.oracle.com/en-us/iaas/Content/generative-ai/overview.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/models.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/fine-tune-models.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/imported-models.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/agents.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/governance.htm
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/oci-openai.htm
- https://www.oracle.com/artificial-intelligence/enterprise-ai/cost-estimator/
- https://docs.oracle.com/en-us/iaas/Content/generative-ai/calculate-cost.htm