mirror of
https://github.com/marcominerva/SqlDatabaseVectorSearch.git
synced 2026-06-20 12:23:10 +00:00
Marco Minerva
db4646330f
- Modified `ApplicationDbContext.cs` to correct the `.IsVector()` method placement for `DocumentChunk`. - Removed `MemoryResponse.cs` class, indicating a move away from this model. - Enhanced `Program.cs` with Azure AI services integration for text embeddings and chat completions. Updated OpenAPI descriptions and reintroduced `/api/ask` with vector search. - Adjusted `ChatService.cs` to improve question-asking functionality using document chunks. - Updated `VectorSearchService.cs` with a new `AskQuestionAsync` method for advanced search and response capabilities. Made `GetContentAsync` static. - Formatted `SqlDatabaseVectorSearch.csproj` and managed NuGet package inclusions. - Simplified `appsettings.json` by removing unused keys. - Added a new `Response` record class for standardized service responses.
32 lines
678 B
JSON
32 lines
678 B
JSON
{
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"ConnectionStrings": {
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"SqlConnection": ""
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},
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"AzureOpenAI": {
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"ChatCompletion": {
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"Endpoint": "",
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"Deployment": "",
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"ApiKey": "",
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"MaxTokens": 32768
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},
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"Embedding": {
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"Endpoint": "",
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"Deployment": "",
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"ApiKey": "",
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"MaxTokens": 8191
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}
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},
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"AppSettings": {
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"MessageLimit": 20,
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"MessageExpiration": "00:05:00"
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},
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"Logging": {
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"LogLevel": {
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"Default": "Information",
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"Microsoft.AspNetCore": "Warning"
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}
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},
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"https_port": 443,
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"AllowedHosts": "*"
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}
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