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* .NET: [BREAKING] Add session statebag to use for state storage instead of inside providers (#3737) * Add a StateBag to AgentSession and pass Agent and AgentSession to AIContextProvider and ChatHistoryProviders * Convert all AIContextProviders to use the statebag * Update InMemoryChatHistoryProvider to use StateBag * Update Comsos and Workflow ChatHistoryProviders * Update 3rd party chat history storage sample. * Remove serialize method from providers * Replacing provider factories with properties * Remove Providers from Session and flatten state bag serialization * Update samples to use getservice on agent * Updated additional session types to serialize statebag * Fix regression * Address PR comments * Address PR comments. * Fix formatting * Fix unit tests * Remove InMemoryAgentSession since it is not required anymore. * Address PR comments * Convert sessions for A2AAgent, ChatClientAgent, CopilotStudioAgent and GithubCopilotAgent to use regular json serialization. * Fix durable agent session jso usgae * Add jso to InMemory and Workflow ChatHistoryProviders * Update InMemoryChatHistoryProvider to use an options class for it's many optional settings. * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Address PR feedback * Fix verification bug. * Improve state bag thread safety * Address PR comments and fix unit tests * Address PR comments * Fix unit test --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Add a public StateKey property to providers (#3810) * .NET: [BREAKING] Update providers in such a way that they can participate in a pipeline (#3846) * Make providers pipeline capable * Fix unit tests * Move source stamping to providers from base class * Also update samples. * Address PR comments * Rename AsAgentRequestMessageSourcedMessage to WithAgentRequestMessageSource * .NET: [BREAKING] Add consistent message filtering to all providers. (#3851) * Add consistent message filtering to all providers. * Remove old chat history filtering classes * Fix merge issues * Fix unit test * Enforce non-nullable property * Fix merging bug and make troubleshooting source info easier by adding tostring implementation * .NET: [BREAKING] Add support for multiple AIContextProviders on a ChatClientAgent (#3863) * Add support for multiple AIContextProviders on a ChatClientAgent * Address PR comments and fix tests * Address PR comments. * .NET: [BREAKING]Delay AIContext Materialization until the end of the pipeline is reached. (#3883) * Delay AIContext Materialization until the end of the pipeline is reached. * Address PR comments. * Address PR comments * Modify InvokedContext to be immutable (#3888) * .NET: Address Feedback on StateBag feature branch PR (#3910) * Address Feedback on statebag feature branch PR * Update dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Address PR comments --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@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. |