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面向智能体的AI数据实践指南.pdf

上传人: 明**** 编号:1013057 2025-12-21 134页 719.41KB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.D A T 3 1 5A Practitioners guide to datafor agentic AITim StoakesSiva RaghupathyDirector,WW Database&Analytics SA,AWSSr.Principal Technologist,AWS 2025,Amazon Web Se

2、rvices,Inc.or its affiliates.All rights reserved.Evolving AI landscape202320242025Chatbot with vector searchSelecting the rightvector database 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Evolving AI landscape202320242025Chatbot with vector searchSelecting the rightvector datab

3、aseChatbot with advanced contextContext engineering,hybrid search,GraphRAG 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Evolving AI landscape202320242025Chatbot with vector searchSelecting the rightvector databaseChatbot with advanced contextContext engineering,hybrid search,Gr

4、aphRAGMCP 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Evolving AI landscape202320242025Chatbot with vector searchSelecting the rightvector databaseChatbot with advanced contextContext engineering,hybrid search,GraphRAGAutonomousAI agentsReasoning,planning,taskexecutionMCP 2025

5、,Amazon Web Services,Inc.or its affiliates.All rights reserved.Evolving AI landscape202320242025Chatbot with vector searchSelecting the rightvector databaseChatbot with advanced contextContext engineering,hybrid search,GraphRAGAutonomousAI agentsReasoning,planning,taskexecutionTerry:I need help to f

6、ile a claim for my car accidentAI:Welcome to AnyCompany Insurance.Please describe the incident and upload documentationHuman handoffMCP 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Evolving AI landscape202320242025Chatbot with vector searchSelecting the rightvector databaseChat

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根据报告的内容,全文主要围绕Agentic AI(代理人工智能)的发展和应用展开,特别是其在保险行业的应用。以下是关键点: 1. **AI发展趋势**:从2023年到2025年,AI技术将经历从聊天机器人到自主AI代理的演变,包括向量搜索、上下文工程、图RAG和推理、规划、任务执行等。 2. **ReAct循环**:Agentic AI的核心是ReAct循环,包括理解用户请求、创建行动计划、执行行动和存储上下文。 3. **数据管理**:数据在Agentic AI中至关重要,涉及短期和长期记忆管理,包括语义、事件和用户数据。 4. **MCP协议**:MCP(Model Context Protocol)用于标准化代理与数据源之间的交互。 5. **工具选择**:根据不同的应用场景选择合适的工具,如探索和发现数据、报告/可视化、分析、搜索、上下文丰富和执行任务。 6. **数据市场**:建立数据产品市场,提供数据产品、工具和代理。 7. **统一架构**:结合Strands Agents、LangGraph、Amazon Bedrock等工具,构建统一的Agentic AI架构。 8. **安全与治理**:确保数据治理和端到端安全,利用AWS服务简化操作。
"AI助手如何高效处理保险理赔?" "如何选择合适的向量数据库?" "AI代理在保险行业中的应用案例!"
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