Enterprise Ai

oracle/skills/oci/enterprise-ai

by oracle6c57a52588c2No license874 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 2 days ago

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.

Instructions onlyAI & AgentsDevOps & Cloud
AI-generated overview

Routes Oracle Enterprise AI questions to topic files on OCI models, agents, RAG, governance, cost and integrations.

What it does
This skill acts as a front door for Oracle Enterprise AI work on OCI. It provides a user-journey routing table and multi-step flow sequences that point to topic files covering models, custom and imported models, agent workflows, agent tools, RAG and search, cost estimation, governance and Oracle platform integrations. It produces guidance and routing decisions rather than files or code.
When to use it
Use it when a request concerns OCI Generative AI, Enterprise AI models or agents, governed GenAI applications, agentic workflows, RAG on Oracle Cloud, or OCI Generative AI cost estimation. It is also meant for questions that span OCI, Autonomous Database, APEX and other Oracle services.
Requirements
No scripts or runtime dependencies; it is instructions only. It assumes access to the referenced topic files and recommends consulting official Oracle documentation for current model availability, IAM verbs, endpoint formats and service limits.

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 GoalStart With
Choose or invoke OCI-hosted models, embeddings, rerank, endpoints, or dedicated servingmodels/enterprise-ai-models.md
Import, fine-tune, host, or lifecycle-manage a custom modelmodels/custom-and-imported-models.md
Build an API-first agent with OpenAI-compatible OCI APIsagent-workflows/responses-api-agents.md
Deploy a packaged agent runtime on OCI-managed infrastructureagent-workflows/hosted-applications.md
Choose the right tool pattern: File Search, Code Interpreter, Function Calling, MCP, or SQL Searchagent-workflows/agent-tools.md
Ground answers in documents, vector stores, SQL, or Oracle Database vector searchdata/rag-and-search.md
Estimate OCI Generative AI or OCI Generative AI Agents cost driverscost/cost-estimation.md
Secure model or agent access with IAM, private networking, OAuth, guardrails, or audit controlsgovernance/private-endpoints-and-governance.md
Connect Enterprise AI to Autonomous Database, APEX, Oracle Integration, Fusion, or OCI AI Servicesintegrations/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

TaskRecommended Sequence
Build a governed enterprise assistantresponses-api-agents -> agent-tools -> rag-and-search -> cost-estimation -> private-endpoints-and-governance
Move from model experimentation to production servingenterprise-ai-models -> cost-estimation -> private-endpoints-and-governance
Bring a custom model into OCI servingcustom-and-imported-models -> enterprise-ai-models -> cost-estimation -> private-endpoints-and-governance
Deploy a packaged agent runtimeresponses-api-agents -> hosted-applications -> cost-estimation -> private-endpoints-and-governance
Build RAG over filesrag-and-search -> agent-tools -> cost-estimation -> responses-api-agents
Build RAG over Oracle Databaserag-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 appsoracle-platform-integrations -> relevant db/features/ or apex/apexlang/ guidance
Design production access controlsprivate-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

Source and attribution

Source:oracle/skillsinoci/enterprise-aiat commit6c57a52

License: No license

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