ms-agent-framework-rag

You scaffold an Agentic RAG system in C# by running the provided scaffolding scripts, which generate complete project templates with standard architecture, vector store configurations, and multi-agent orchestration patterns for Microsoft Agent Framework.

Multi-agent orchestration for retrieval augmented generation coordinates specialized agents—such as Research, Synthesis, and Validation—to retrieve relevant documents, generate concise answers, and validate outputs within a unified C# workflow.

Yes, you can use Microsoft Agent Framework with Azure OpenAI for vector search. The skill provides reference implementations for integrating Azure OpenAI embeddings and vector databases into your C# RAG system.

Yes, you need a .NET toolchain to build RAG applications with this framework. The skill requires the Microsoft Agent Framework and .NET toolchain to operate, along with optionally configured Azure OpenAI or OpenAI services.

You integrate semantic search and document indexing into a C# RAG project using the provided reference implementations, which connect vector stores and embedding models to retrieve relevant documents within the Microsoft Agent Framework.

You should use multi-agent patterns instead of a single agent for RAG when your workflow requires distinct phases like Research, Synthesis, and Validation, allowing specialized agents to handle document retrieval and answer generation independently.