Enterprise Ai

作者 oracle6c57a52588c2無授權條款874 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 天前更新

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.

僅含說明AI & Agents DevOps & Cloud

AI 產生的概覽

將 Oracle 企業級 AI 問題導向 OCI 模型、代理、RAG、治理、成本與整合等主題檔案。

功能: 此技能是 Oracle 企業級 AI 在 OCI 上的入口。它提供使用者旅程路由表與多步驟流程順序，指向涵蓋模型、自訂與匯入模型、代理工作流程、代理工具、RAG 與搜尋、成本估算、治理以及 Oracle 平台整合的主題檔案。它產出的是指引與路由決策，而非檔案或程式碼。
適用情境: 當請求涉及 OCI 生成式 AI、企業級 AI 模型或代理、受治理的生成式 AI 應用、代理式工作流程、Oracle 雲上的 RAG，或 OCI 生成式 AI 成本估算時使用。它也適用於橫跨 OCI、Autonomous Database、APEX 及其他 Oracle 服務的問題。
執行需求: 無需指令碼或執行階段相依性，僅為說明性內容。它假定可存取所引用的主題檔案，並建議查閱 Oracle 官方文件以取得最新的模型可用性、IAM 權限動詞、端點格式與服務限制。

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

Start with the user journey table below.
Read only the smallest topic file that matches the task.
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

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

來源與署名

來源：oracle/skills位於oci/enterprise-ai提交6c57a52

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檢舉或申請下架

Enterprise Ai

OCI Enterprise AI Skills

How to Use This Domain

Directory Structure

User Journey Routing

Key Starting Points

Common Multi-Step Flows

Scope Boundaries

Sources

來源與署名

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