Enterprise Ai

作者 oracle6c57a52588c2无许可证874 个星标收录于 2026年10月8日更新于 2026年10月8日仓库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.

仅含说明AI & Agents DevOps & Cloud

AI 生成的概览

将 Oracle 企业级 AI 问题路由到 OCI 模型、代理、RAG、治理、成本与集成等主题文件。

功能: 该技能是 Oracle 企业级 AI 在 OCI 上的入口。它提供用户旅程路由表和多步骤流程顺序，指向涵盖模型、自定义与导入模型、代理工作流、代理工具、RAG 与搜索、成本估算、治理以及 Oracle 平台集成的主题文件。它产出的是指引与路由决策，而非文件或代码。
适用场景: 当请求涉及 OCI 生成式 AI、企业级 AI 模型或代理、受治理的生成式 AI 应用、代理式工作流、Oracle 云上的 RAG，或 OCI 生成式 AI 成本估算时使用。它也适用于横跨 OCI、Autonomous Database、APEX 及其他 Oracle 服务的问题。
运行要求: 无需脚本或运行时依赖，仅为说明性内容。它假定可访问所引用的主题文件，并建议查阅 Oracle 官方文档以获取最新的模型可用性、IAM 权限动词、端点格式和服务限制。

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

来源与署名

来源：oracle/skills位于oci/enterprise-ai提交6c57a52

许可证：无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架

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

来源与署名

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