1、Orlando,FLOctober 69IBM TechXchange 2025Session code 3176Session code 3176Hailey Thao Quach,Faranak Heidari,Daniel RudnitskiHailey Thao Quach,Faranak Heidari,Daniel RudnitskiInformation Developer,AI Developer,Software DeveloperInformation Developer,AI Developer,Software DeveloperIBM Skills NetworkIB
2、M Skills NetworkAgentic RAG:Autonomous Intelligence Meets Knowledge Retrieval(sprinkled with a hint of MCP)Agenda0102030405App overviewKey concepts overview+demoHands-On LabTakeawaysQ&AIBM TechXchange|2025 IBM CorporationBefore we start IBM TechXchange|2025 IBM Corporation3The presentation provides
3、a detailed technical explanation,followed by a 15-minute hands-on lab session to apply what youve learned.0101Feel free to take your time with the lab.If you dont finish during this session,there are instructions at the end of the session to pick up where you left off.0202If you have questions,dont
4、hesitate to ask during the hands-on lab session!0303Lets begin!IBM TechXchange|2025 IBM Corporation4IBM TechXchange|2025 IBM Corporation5What you will build by the end of this sessionIBM TechXchange|2025 IBM Corporation6What you will learn in this session0102030405060708Agentic AI&Multi-agent system
5、AgentsTasksTools and Tool CallingLangGraphAgentic RAGDoclingBonus:Model Context Protocol7What is agentic AI?An individual system or An individual system or program program that operates autonomously with agency.It can perform taskstasks,make decisionsmake decisions,and interactinteract with the envi
6、ronment or other systems independently.One AI system One AI system to solve problems or achieve goals on behalf of a user or another system.Often relies on advanced AI models(LLMs,etc.)IBM TechXchange|2025 IBM Corporation8Conventional structure of an AI agentIBM TechXchange|2025 IBM Corporation9What