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* Bump Microsoft.Extensions.AI packages to 10.6.0 * Align transitive package versions for Microsoft.Extensions.AI 10.6.0 * Ignore external review check in Merge Gatekeeper --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
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Agent Framework Retrieval Augmented Generation (RAG) with Neo4j GraphRAG
This sample demonstrates how to create and run an agent that uses the Neo4j GraphRAG context provider with Microsoft Agent Framework for .NET.
The sample uses a Neo4j fulltext index for retrieval and a Cypher RetrievalQuery to enrich results with related companies, products, and risk factors.
Prerequisites
- .NET 10 SDK or later
- Azure OpenAI endpoint and chat deployment
- Azure CLI installed and authenticated
- A Neo4j database with chunked documents and a fulltext index such as
search_chunks
Environment variables
$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
$env:NEO4J_URI="neo4j+s://your-instance.databases.neo4j.io"
$env:NEO4J_USERNAME="neo4j"
$env:NEO4J_PASSWORD="your-password"
$env:NEO4J_FULLTEXT_INDEX_NAME="search_chunks"
Build and run
dotnet build
dotnet run --framework net10.0 --no-build
The sample issues a few questions against the graph-backed retrieval provider and prints the responses to the console.