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使用 MCP 在 Oracle AI 上构建智能 AI 应用程序 [PI2055].pdf

上传人: Fl****zo 编号:970935 2025-11-08 28页 2.73MB

1、 Build an Agentic AI Application with MCP on Oracle AIDeep Dive-PI2055PresentersAnup Ojah,Master Principal Cloud ArchitectPraveen Patil,Sr.Principal Product ManagerThe following is intended to outline our general product direction.It is intended for information purposes only,and may not be incorpora

2、ted into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at the sole discre

3、tion of Oracle Corporation.Safe harbor statement2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedCopyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly Restricted3Forward-Looking statementsThis presentation is intended to out

4、line our general product direction.It is intended for information purposes only,and may not be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing o

5、f any features or functionality described for Oracles products may change and remains at the sole discretion of Oracle Corporation.Statements in this presentation relating to Oracles future plans,expectations,beliefs,intentions,and prospects are“forward-looking statements”and are subject to material

6、 risks and uncertainties.A detailed discussion of these factors and other risks that affect our business is contained in Oracles Securities and Exchange Commission(SEC)filings,including our most recent reports on Form 10-K and Form 10-Q under the heading“Risk Factors.”These filings are available on

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根据《Build an Agentic AI Application with MCP on Oracle AI Deep Dive - PI2055》的内容,以下是全文关键点的概括: 1. **Agentic AI框架概述**:介绍了一种新的AI框架,它使用大型语言模型(LLM)和ReAct模型,结合角色扮演、工具、记忆管理和企业知识库,实现自主、AI驱动的代理。 2. **DBA职责与挑战**:DBA开发者负责设计数据库、编写SQL查询和存储过程,而DBA管理员则负责数据库安装、配置、监控和故障排除。 3. **Vibe DBA与传统DBA对比**:Vibe DBA利用自然语言处理,通过AI助手自动生成和优化SQL,与传统手动操作相比,效率更高。 4. **构建Agentic AI应用的7步过程**: - 系统提示 - LLM - 工具 - 内存管理 - 角色扮演 - 用户体验 - AI评估 5. **MCP(模型上下文协议)**:MCP允许代理访问外部系统、API或数据端点,如数据库、本地文件系统等。 6. **Oracle AI全栈优势**:涵盖AI基础设施、模型训练、推理、数据准备、模型部署等,提供从模型构建到部署的完整解决方案。 7. **客户案例与资源**:提供客户成功故事和进一步学习的资源,如Git仓库、AI快速操作、数据科学模型部署等。
"AI助你轻松管理数据库?" DBA新技能" 构建智能DBA应用"
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