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Roger Barreto b0613a8ceb .NET: Bump Azure.AI.Projects to 2.0.0 GA (#5060 )

* Bump Azure.AI.Projects to 2.0.0 GA

- Update Azure.AI.Projects from 2.0.0-beta.2 to 2.0.0 in CPM
- Update Azure.Identity from 1.19.0 to 1.20.0 (transitive dep)
- Update System.ClientModel from 1.9.0 to 1.10.0 (transitive dep)
- Rename types per Azure.AI.Projects.Agents 2.0.0 breaking changes:
  - AgentVersion -> ProjectsAgentVersion
  - AgentRecord -> ProjectsAgentRecord
  - AgentDefinition -> ProjectsAgentDefinition
  - AgentVersionCreationOptions -> ProjectsAgentVersionCreationOptions
  - PromptAgentDefinition -> DeclarativeAgentDefinition
  - AgentTool -> ProjectsAgentTool
  - AgentsClient -> AgentAdministrationClient
  - .Agents property -> .AgentAdministrationClient
- Add using Azure.AI.Projects.Memory namespace (types moved)
- Update AGENTS.md with BOM and output capture conventions

* Address PR review feedback

- Rename AIProjectClient parameter to aiProjectClient in AsChatClientAgent overloads
- Fix XML doc: ProjectsAgentTool namespace from Azure.AI.Projects.OpenAI to Azure.AI.Projects.Agents
- Rename test method to reflect DeclarativeAgentDefinition terminology

b0613a8ceb · 2026-04-02 14:02:29 +00:00

History

AgentWithRAG_Step01_BasicTextRAG

[BREAKING] Add response filter for store input in *Providers (#4327 )

2026-03-03 11:02:02 +00:00

AgentWithRAG_Step02_CustomVectorStoreRAG

.NET: Replace Azure Foundry/Azure AI Foundry with Microsoft Foundry in .NET samples (#5032 )

2026-04-01 15:18:33 +00:00

AgentWithRAG_Step03_CustomRAGDataSource

Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092 )

2026-02-26 00:56:10 +00:00

AgentWithRAG_Step04_FoundryServiceRAG

.NET: Bump Azure.AI.Projects to 2.0.0 GA (#5060 )

2026-04-02 14:02:29 +00:00

AgentWithRAG_Step05_Neo4jGraphRAG

Add Neo4j GraphRAG samples (#4994 )

2026-04-01 10:23:04 +00:00

README.md

Add Neo4j GraphRAG samples (#4994 )

2026-04-01 10:23:04 +00:00

README.md

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.
RAG with Neo4j GraphRAG	This sample demonstrates how to create and run an agent that uses a Neo4j-backed GraphRAG context provider with graph-enriched retrieval.