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* Point AgentOptions.Instructions to ChatOptions * Update tests and checks * Update xml docs * Removal of agentOptions.Instructions in favor of chatOptions.Instructions * Instructions and tool check consistency * Instructions and tool check consistency * Address comment * Update .github/upgrades/prompts/SemanticKernelToAgentFramework.md Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * Address PR Comment * Update latest changes to comply with the PR proposal * Address feedback * Update dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * Address instructions * Update declarative to use promptAgent.Instrucitons with chatOptions.Instructions --------- Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@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. |