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Add dimensions parameter for embeddings; reformat SQL

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Updated Program.cs to include dimensions parameter for AddAzureOpenAITextEmbeddingGeneration sourced from aiSettings.Embedding.Dimensions. Reformatted SQL command texts in VectorSearchService.cs for better readability. Introduced EmbeddingServiceSettings class in AzureOpenAISettings.cs to allow optional dimensions configuration. Updated appsettings.json to include new Dimensions property under Embedding section.
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Marco Minerva
2024-09-30 17:53:59 +02:00
parent 3e95251485
commit 2dff0aae55
4 changed files with 47 additions and 14 deletions
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SqlDatabaseVectorSearch/Program.cs
+1 -1
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@@ -30,7 +30,7 @@ builder.Services.AddMemoryCache();
// Semantic Kernel is used to generate embeddings and to reformulate questions taking into account all the previous interactions,
// so that embeddings themselves can be generated more accurately.
builder.Services.AddKernel()
.AddAzureOpenAITextEmbeddingGeneration(aiSettings.Embedding.Deployment, aiSettings.Embedding.Endpoint, aiSettings.Embedding.ApiKey)
.AddAzureOpenAITextEmbeddingGeneration(aiSettings.Embedding.Deployment, aiSettings.Embedding.Endpoint, aiSettings.Embedding.ApiKey, dimensions: aiSettings.Embedding.Dimensions)
.AddAzureOpenAIChatCompletion(aiSettings.ChatCompletion.Deployment, aiSettings.ChatCompletion.Endpoint, aiSettings.ChatCompletion.ApiKey);
builder.Services.AddScoped<ChatService>();