Agent to Agent Interaction

🤖➡️🤖 Agent-to-agent interaction using Microsoft libraries. Demonstrates how agents can communicate across multiple platforms.

Preprocessing & Indexing

Azure AI Search

• Lab files for Azure AI Knowledge Mining modules: Azure AI Search Index Creation
• Text2SQL and Image Processing in AI Search

Document Intelligence

• Document knowledge mining solution accelerator: Azure AI Document Intelligence

Agent to Agent Interaction

1. Azure AI Foundry Agent to Semantic kernel Agent
   • Azure AI Agents with Semantic Kernel
   • Develop an Azure AI agent with the Semantic Kernel SDK
2. Copilot Studio to Semantic kernel Agent
   • Copilot Studio Agents interaction
   • Guest Blog: Semantic Kernel and Copilot Studio Usage Series – Part 1
   • Multi-agent orchestration, maker controls, and more: Microsoft Copilot Studio announcements at Microsoft Build 2025
   • Integrate Custom Azure AI Agents with CoPilot Studio and M365 CoPilot
3. Microsoft 365 Agents SDK to Copilot Studio Agent
   • Integrate with Copilot Studio
4. Semantic Kernel Agent to Copilot Studio Agent
5. Copilot Studio Skill

Semantic Kernel Agent

• Semantic Kernel Documentation: Official Documentation
• Guest Blog: Orchestrating AI Agents with Semantic Kernel Plugins: A Technical Deep Dive
• Semantic Kernel: Multi-agent Orchestration: Multi-agent Orchestration Patterns

Microsoft 365 Agents SDK

• Microsoft 365 Agents SDK: Official repository. C# as the primary language.
• Microsoft 365 Agents SDK - C# /.NET: The best way to consume this SDK is via our Nuget packages found here: nuget.org. They will all begin with Microsoft.Agents
• Agents-for-python: pip is not supported; currently in the testing phase as of June 2025.

Research Agent

• Magentic-One: Tutorial: Recommend to use a seperate venv.
• Code Researcher: Code Researcher: Deep Research Agent for Large Systems Code and Commit History