Microsoft Agent Framework——Agent Framework RAG

These samples show how to create an agent with the Agent Framework that uses Retrieval Augmented Generation (RAG) to enhance its responses with information from a knowledge base.

这些示例展示了如何使用 Agent Framework 创建一个智能体（agent），该智能体通过检索增强生成（Retrieval Augmented Generation, RAG）技术，利用知识库中的信息来增强其回答能力。

Sample    示例	Description    说明
Basic Text RAG	This sample demonstrates how to create and run a basic agent with simple text Retrieval Augmented Generation (RAG). 本示例演示如何创建并运行一个使用简单文本检索增强生成（RAG）的基础智能体。
RAG with Vector Store and custom schema	This sample demonstrates how to create and run an agent that uses Retrieval Augmented Generation (RAG) with a vector store. It also uses a custom schema for the documents stored in the vector store. 本示例演示如何创建并运行一个使用向量存储（vector store）的检索增强生成（RAG）智能体，并为存储在向量存储中的文档使用自定义数据结构（schema）。
RAG with custom RAG data source	This sample demonstrates how to create and run an agent that uses Retrieval Augmented Generation (RAG) with a custom RAG data source. 本示例演示如何创建并运行一个使用自定义 RAG 数据源的检索增强生成（RAG）智能体。
RAG with Foundry VectorStore service	This sample demonstrates how to create and run an agent that uses Retrieval Augmented Generation (RAG) with the Foundry VectorStore service. 本示例演示如何创建并运行一个使用 Foundry VectorStore 服务的检索增强生成（RAG）智能体。