enterprise-ai

name

enterprise-ai

description

Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model endpoints, private endpoints, vector stores, File Search, Code Interpreter, MCP tools, SQL Search, hosted agentic applications, and Oracle platform integrations. Use when the user asks for OCI Generative AI, Enterprise AI Models, Enterprise AI Agents, governed GenAI applications, agentic workflows, RAG on Oracle Cloud, OCI Generative AI pricing or cost estimator inputs, or a simplified path across OCI, Autonomous Database, APEX, and other Oracle services.

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

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