OCI Enterprise AI Features
A consistent approach for agents and generative AI
Build, orchestrate, deploy, and govern AI applications and agents in one managed OCI service.
A choice of leading foundation models
Access pretrained models from Cohere, Google, Meta, OpenAI, and xAI through a consistent API.
Agent orchestration with ready-to-use tools
Automate multistep workflows using built-in capabilities, such as retrieval-augmented generation (RAG), for grounded answers and natural language to SQL for structured data.
Support for standards-based open source frameworks and protocols
Build on existing skills and integrations while keeping options open as models and tooling change. Use agentic frameworks, such as LangChain, LangGraph, and AutoGen, with OpenAI Responses API compatibility, plus Agent2Agent (A2A) and Model Context Protocol (MCP) support.
Production deployment and performance options
Run enterprise workloads with managed deployment and dedicated AI clusters on private GPUs for stable, high-throughput performance.
Enterprise security and controls built in
Use identity and access management (IAM) integration, guardrails, auditability, and observability to deploy agents with confidence, including in regulated environments.
Operations and lifecycle management
Monitor usage and quality with analytics and moderation controls, and manage model endpoints over time to support production operations.
注：为免疑义，本网页所用以下术语专指以下含义：
- 除Oracle隐私政策外，本网站中提及的“Oracle”专指Oracle境外公司而非甲骨文中国。
- 相关Cloud或云术语均指代Oracle境外公司提供的云技术或其解决方案。