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* change namespaces for agents and extension methods of the Microsoft.Agents.AI.OpenAI package * remove unnecessary namespace * remove unused namespaces * fix compilation issues and rrolled back removed run methods * sort usings * add extension methods for AIAgent to work with OpenAI Responses primitives * Move OpenAIChatClientAgent and OpenAIResponseClientAgent to samples * sort usings * sort usings
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Agent Framework Retrieval Augmented Generation (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.
| Sample | Description |
|---|---|
| Basic Text RAG | This sample demonstrates how to create and run a basic agent with simple text Retrieval Augmented Generation (RAG). |
| 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. |
| 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. |
| 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. |