Challenge 06 - Agentic AI
Introduction
Integrating agents into an application after implementing Retrieval-Augmented Generation (RAG) can significantly enhance user experience by providing personalized interactions and automating repetitive tasks. Additionally, agents can improve decision-making, ensure scalability, and offer real-time responses, making them ideal for complex task management and continuous improvement. In this challenge, you will learn how to use the Azure AI Agent service to build, deploy, and scale enterprise-grade AI agents.
Description
In this challenge, you will create a basic agent.
- Follow these steps AI Agents in AI Foundry .
Are you able to deploy one of the models listed in Bing Knowledge Source to ground with Bing Search? How does this change your results?
Success Criteria
To complete this challenge successfully, you should be able to:
- Articulate what an agent is and why it can be used
- Identify tools available to extend an agents capabilities
Conclusion
In this Challenge, you explored creating an AI Agent through the Azure AI Foundry portal. This developer friendly experience integrates with several tools, knowledge connections, and systems. As you start or continue to develop your AI applications, think about the coordination needed between different agents and their roles. What would be some important considerations with multi-agent systems when handling complex tasks?