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  • More
    • Home
    • RAG / Vector DBs
    • No-Code AI Worflows
    • TOGAF EA Framework
    • Model Context Protocol
    • Azure, AWS, GCP, GitHub
    • Transform Sub-quadractic
    • AI Agents
    • APIs / Tools
    • ML & Transformers
    • TensoFl PyTorch LangChain
    • Graph Neural Networks
    • Glossary
    • Azure AI Foundry
    • Snowflake vs Databricks
    • AGI - SAI - 2027
    • Kubernetes - Docker
    • Technical Full Stack 2025
  • Home
  • RAG / Vector DBs
  • No-Code AI Worflows
  • TOGAF EA Framework
  • Model Context Protocol
  • Azure, AWS, GCP, GitHub
  • Transform Sub-quadractic
  • AI Agents
  • APIs / Tools
  • ML & Transformers
  • TensoFl PyTorch LangChain
  • Graph Neural Networks
  • Glossary
  • Azure AI Foundry
  • Snowflake vs Databricks
  • AGI - SAI - 2027
  • Kubernetes - Docker
  • Technical Full Stack 2025

Azure AI Foundry

Multi-agent workflow automation

If 

 Multi-Agent-Custom-Automation-Engine-Solution-Accelerator/docs/images/readme/macae-architecture.png at main · microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator 


 The solution leverages Azure OpenAI Service, Azure Container Apps, Azure Cosmos DB, and Azure Container Registry to create an intelligent automation pipeline. It uses a multi-agent approach where specialized AI agents work together to plan, execute, and validate tasks based on user input. 

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