mirror of
https://github.com/marcominerva/SqlDatabaseVectorSearch.git
synced 2026-08-04 09:48:57 +00:00
Marco Minerva
f9f75cdf7c
Updated documentation and UI to clarify support for both Azure SQL Database and SQL Server 2025+ for native VECTOR type storage and search. Improved README with accurate prerequisites, setup instructions, and detailed ModelId usage guidance. Clarified streaming response availability in both Blazor and API. Fixed typos and improved wording in UI messages. Enhanced code comments for clarity and accuracy, including ModelId guidance in appsettings.json.
40 lines
1.3 KiB
JSON
40 lines
1.3 KiB
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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"ModelId": "", // Used only for token counting: gpt-5, gpt-4.1, gpt-4o, gpt-4, gpt-3.5-turbo, etc. If the model isn't supported by Microsoft.ML.Tokenizers, use the closest one (for example gpt-4o).
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"ApiKey": ""
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},
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"Embedding": {
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"Endpoint": "",
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"Deployment": "",
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"ModelId": "", // text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002
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"ApiKey": "",
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// Set this value only if you're using a model that allows to specify the dimensions of the embeddings
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// (e.g. text-embedding-3-small or text-embedding-3-large). Currently, a maximum value of 1998 is supported.
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"Dimensions": null
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}
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},
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"AppSettings": {
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"EmbeddingBatchSize": 32,
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"MaxTokensPerLine": 300,
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"MaxTokensPerParagraph": 1000,
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"OverlapTokens": 100,
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"MaxRelevantChunks": 30,
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"MessageExpiration": "00:05:00",
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"MessageLimit": 20
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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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