Microsoft Agent Framework Workflows: The Next Step in Building Intelligent, Multi-Agent AI Systems
A technical guide to building multi-agent AI systems using workflows in the Microsoft Agent Framework, covering patterns and implementation.
Rajeev Singh is an AI and Gen AI expert focusing on multi-agent systems, Microsoft Agent Framework, and Azure AI services. His blog covers AI agent development, enterprise chat AI, and advanced serverless AI solutions with practical implementation guides.
8 articles from this blog
A technical guide to building multi-agent AI systems using workflows in the Microsoft Agent Framework, covering patterns and implementation.
Microsoft's new open-source Agent Framework combines AutoGen and Semantic Kernel for building intelligent, multi-agent AI applications.
A guide to getting started with the AutoGen framework for building and orchestrating multi-agent AI applications.
A guide to building multi-agent AI systems using Semantic Kernel and Azure AI Agent Service, focusing on orchestration frameworks.
A tutorial on building multi-agent AI systems using Python and Azure OpenAI, covering concepts, frameworks, and practical implementation.
A tutorial on creating your first AI agent using Azure AI Agent Service, focusing on setup with Managed Identity and a code walkthrough.
Final part of a series on building enterprise-grade AI chat applications, covering data customization, UI, security, evaluation, scaling, load testing, and monitoring.
Explores the architecture and demo of an Enterprise Chat AI solution using Azure OpenAI and AI Search, part of a technical series.