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Use project ref to openai in test project and update sample #39689

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Nov 2, 2023
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Use project ref to openai in test project and update sample #39689

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6 changes: 3 additions & 3 deletions ...rch/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingRawVectorQuery.md
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Original file line number Diff line number Diff line change
Expand Up @@ -87,10 +87,10 @@ AzureKeyCredential credential = new AzureKeyCredential(key);

OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
string description = "Very popular hotel in town.";
EmbeddingsOptions embeddingsOptions = new(description);
EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });

Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
```

In the sample code below, we are using hardcoded embeddings for the vector fields named `DescriptionVector` and `CategoryVector`:
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6 changes: 3 additions & 3 deletions ...zure.Search.Documents/samples/Sample07_VectorSearch_UsingSemanticHybridQuery.md
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Expand Up @@ -105,10 +105,10 @@ AzureKeyCredential credential = new AzureKeyCredential(key);

OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
string description = "Very popular hotel in town.";
EmbeddingsOptions embeddingsOptions = new(description);
EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });

Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
```

In the sample code below, we are using hardcoded embeddings for the vector fields named `DescriptionVector` and `CategoryVector`:
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6 changes: 3 additions & 3 deletions ...re.Search.Documents/samples/Sample07_VectorSearch_UsingVectorizableTextQuery.md
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Original file line number Diff line number Diff line change
Expand Up @@ -103,10 +103,10 @@ AzureKeyCredential credential = new AzureKeyCredential(key);

OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
string description = "Very popular hotel in town.";
EmbeddingsOptions embeddingsOptions = new(description);
EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });

Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
```

In the sample code below, we are using hardcoded embeddings for the vector fields named `DescriptionVector` and `CategoryVector`:
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2 changes: 1 addition & 1 deletion sdk/search/Azure.Search.Documents/tests/Azure.Search.Documents.Tests.csproj
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Expand Up @@ -27,7 +27,7 @@

<!-- References required for sample snippet -->
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<ProjectReference Include="..\..\..\openai\Azure.AI.OpenAI\src\Azure.AI.OpenAI.csproj" />
</ItemGroup>

<!-- References required for test resource creation -->
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6 changes: 3 additions & 3 deletions sdk/search/Azure.Search.Documents/tests/Samples/Readme.cs
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Expand Up @@ -215,10 +215,10 @@ public async Task GetEmbeddings()

OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
string description = "Very popular hotel in town.";
EmbeddingsOptions embeddingsOptions = new(description);
EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });

Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
#endregion
}

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