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* Initial plan * Move TextSearchProvider and TextSearchProviderOptions to Microsoft.Agents.AI namespace Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Restore AgentWithTextSearchRag project in solution file Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Revert using statement removal in AgentWithRAG_Step01_BasicTextRAG sample Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Revert the previous revert - remove using Microsoft.Agents.AI.Data from AgentWithRAG_Step01_BasicTextRAG Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Revert using statement removal in AgentWithTextSearchRag sample Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
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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. |