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Bump Microsoft.Extensions.VectorData.Abstractions from 9.0.0-preview.1.25161.1 to 9.0.0-preview.1.25229.1 in /docs/ai/quickstarts/snippets/chat-with-data/openai in the dotnet group #45963

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Merged
merged 3 commits into from
May 1, 2025
Merged

Bump Microsoft.Extensions.VectorData.Abstractions from 9.0.0-preview.1.25161.1 to 9.0.0-preview.1.25229.1 in /docs/ai/quickstarts/snippets/chat-with-data/openai in the dotnet group #45963

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21d7aa3
Bump Microsoft.Extensions.VectorData.Abstractions
dependabot[bot] Apr 30, 2025
0399d0b
fix build errors
gewarren May 1, 2025
9eb47cd
use file scoped namespace
gewarren May 1, 2025
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6 changes: 4 additions & 2 deletions docs/ai/quickstarts/build-vector-search-app.md
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Expand Up @@ -77,9 +77,10 @@ Complete the following steps to create a .NET console app that can:
dotnet add package Microsoft.SemanticKernel.Connectors.InMemory --prerelease
dotnet add package Microsoft.Extensions.Configuration
dotnet add package Microsoft.Extensions.Configuration.UserSecrets
dotnet add package System.Linq.AsyncEnumerable
```

The following list describes what each package is used for in the `VectorDataAI` app:
The following list describes each package in the `VectorDataAI` app:

- [`Azure.Identity`](https://www.nuget.org/packages/Azure.Identity) provides [`Microsoft Entra ID`](/entra/fundamentals/whatis) token authentication support across the Azure SDK using classes such as `DefaultAzureCredential`.
- [`Azure.AI.OpenAI`](https://www.nuget.org/packages/Azure.AI.OpenAI) is the official package for using OpenAI's .NET library with the Azure OpenAI Service.
Expand All @@ -98,9 +99,10 @@ Complete the following steps to create a .NET console app that can:
dotnet add package Microsoft.SemanticKernel.Connectors.InMemory --prerelease
dotnet add package Microsoft.Extensions.Configuration
dotnet add package Microsoft.Extensions.Configuration.UserSecrets
dotnet add package System.Linq.AsyncEnumerable
```

The following list describes what each package is used for in the `VectorDataAI` app:
The following list describes each package in the `VectorDataAI` app:

- [`Microsoft.Extensions.AI.OpenAI`](https://www.nuget.org/packages/Microsoft.Extensions.AI.OpenAI) provides AI abstractions for OpenAI-compatible models or endpoints. This library also includes the official [`OpenAI`](https://www.nuget.org/packages/OpenAI) library for the OpenAI service API as a dependency.
- [`Microsoft.SemanticKernel.Connectors.InMemory`](https://www.nuget.org/packages/Microsoft.SemanticKernel.Connectors.InMemory) provides an in-memory vector store class to hold queryable vector data records.
Expand Down
2 changes: 1 addition & 1 deletion docs/ai/quickstarts/snippets/chat-with-data/openai/CloudService.cs
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Expand Up @@ -13,7 +13,7 @@ internal class CloudService
[VectorStoreRecordData]
public string Description { get; set; }

[VectorStoreRecordVector(384, DistanceFunction.CosineSimilarity)]
[VectorStoreRecordVector(Dimensions: 384, DistanceFunction = DistanceFunction.CosineSimilarity)]
public ReadOnlyMemory<float> Vector { get; set; }
}
}
14 changes: 5 additions & 9 deletions docs/ai/quickstarts/snippets/chat-with-data/openai/Program.cs
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Expand Up @@ -58,24 +58,20 @@

foreach (CloudService service in cloudServices)
{
service.Vector = await generator.GenerateEmbeddingVectorAsync(service.Description);
service.Vector = await generator.GenerateVectorAsync(service.Description);
await cloudServicesStore.UpsertAsync(service);
}

// Convert a search query to a vector and search the vector store.
string query = "Which Azure service should I use to store my Word documents?";
ReadOnlyMemory<float> queryEmbedding = await generator.GenerateEmbeddingVectorAsync(query);
ReadOnlyMemory<float> queryEmbedding = await generator.GenerateVectorAsync(query);

VectorSearchResults<CloudService> results =
await cloudServicesStore.VectorizedSearchAsync(queryEmbedding, new VectorSearchOptions<CloudService>()
{
Top = 1
});
List<VectorSearchResult<CloudService>> results =
await cloudServicesStore.SearchEmbeddingAsync(queryEmbedding, top: 1).ToListAsync();

await foreach (VectorSearchResult<CloudService> result in results.Results)
foreach (VectorSearchResult<CloudService> result in results)
{
Console.WriteLine($"Name: {result.Record.Name}");
Console.WriteLine($"Description: {result.Record.Description}");
Console.WriteLine($"Vector match score: {result.Score}");
Console.WriteLine();
}
7 changes: 4 additions & 3 deletions docs/ai/quickstarts/snippets/chat-with-data/openai/VectorDataAI.csproj
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Expand Up @@ -8,11 +8,12 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.4.0-preview.1.25207.5" />
<PackageReference Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.0.0-preview.1.25161.1" />
<PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.41.0-preview" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.4.3-preview.1.25230.7" />
<PackageReference Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.0.0-preview.1.25229.1" />
<PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.48.0-preview" />
<PackageReference Include="Microsoft.Extensions.Configuration" Version="10.0.0-preview.3.25171.5" />
<PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.0-preview.3.25171.5" />
<PackageReference Include="System.Linq.AsyncEnumerable" Version="10.0.0-preview.3.25171.5" />
</ItemGroup>

</Project>