Microsoft.KernelMemory.MemoryDb.SQLServer 0.90.241020.3

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This package has a SemVer 2.0.0 package version: 0.90.241020.3+ef6ec96.
There is a newer version of this package available.
See the version list below for details.
dotnet add package Microsoft.KernelMemory.MemoryDb.SQLServer --version 0.90.241020.3                
NuGet\Install-Package Microsoft.KernelMemory.MemoryDb.SQLServer -Version 0.90.241020.3                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Microsoft.KernelMemory.MemoryDb.SQLServer" Version="0.90.241020.3" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.KernelMemory.MemoryDb.SQLServer --version 0.90.241020.3                
#r "nuget: Microsoft.KernelMemory.MemoryDb.SQLServer, 0.90.241020.3"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.KernelMemory.MemoryDb.SQLServer as a Cake Addin
#addin nuget:?package=Microsoft.KernelMemory.MemoryDb.SQLServer&version=0.90.241020.3

// Install Microsoft.KernelMemory.MemoryDb.SQLServer as a Cake Tool
#tool nuget:?package=Microsoft.KernelMemory.MemoryDb.SQLServer&version=0.90.241020.3                

Kernel Memory with Microsoft SQL Server

Nuget package Discord

This folder contains tests for the MS SQL Server extension for Kernel Memory.

Please note that the connector should not be confused with a NL2SQL feature, e.g. the ability to query the content of a pre-existing SQL server. If you are looking for a solution that allows to import content from a SQL server and make it searchable please see How to index data from Azure SQL in Azure AI Search

Configuration

Configuration (appsettings.json):

  // ...
    "SqlServer": {
      "ConnectionString": "...",
    }
  // ...

Setup with Kernel Memory Builder / Dependency Injection

Method 1, simple applications:

var sqlServerConfig = cfg.GetSection("Services:SqlServer").Get<SqlServerConfig>()!;
var memory = new KernelMemoryBuilder()
    .WithSqlServerMemoryDb(sqlServerConfig)
    // .WithOpenAI(openAiConfig)
    // .WithAzureOpenAITextGeneration(azureOpenAITextConfiguration)
    // .WithAzureOpenAITextEmbeddingGeneration(azureOpenAIEmbeddingConfiguration)
    // .Build();

Method 2, injecting memory into an ASP.NET app:

builder.Services.AddSingleton<IKernelMemory>(sp =>
{
    KernelMemoryBuilder kernelMemoryBuilder = new()
        .WithSqlServerMemoryDb(builder.Configuration.GetConnectionString("DefaultConnection"))
        //... 

    return kernelMemoryBuilder.Build<MemoryServerless>();
});

KM Service setup

To run Kernel Memory service with SQL Server backend:

  1. clone KM repository
  2. add KernelMemory.MemoryStorage.SqlServer nuget to Service.csproj
  3. edit the part using KernelMemoryBuilder adding the same .WithSqlServerMemoryDb(...) call mentioned in the previous paragraph, e.g.
    IKernelMemory memory = new KernelMemoryBuilder(appBuilder.Services)
    .FromAppSettings()
    .WithSqlServerMemoryDb(...)
    .Build();
    

Local tests with Docker

You can test the connector locally with Docker:

docker pull mcr.microsoft.com/mssql/server:2022-latest

docker run -it -p 1433:1433 --rm -e "MSSQL_SA_PASSWORD=00_CHANGE_ME_00" -e "ACCEPT_EULA=Y" \
    mcr.microsoft.com/mssql/server:2022-latest

...using the following connection string:

Server=tcp:127.0.0.1,1433;Initial Catalog=master;Persist Security Info=False;User ID=sa;Password=00_CHANGE_ME_00;MultipleActiveResultSets=False;TrustServerCertificate=True;Connection Timeout=30;

For more information about the SQL Server Linux container:

Batch Upsert Feature

The SQL Server Memory DB now supports batching upsert operations, enhancing performance for bulk data operations. This feature allows for efficient insertion or updating of multiple records in a single operation.

Using Batch Upsert

To use the batch upsert feature, you can utilize the BatchUpsertAsync method. This method accepts an index name and an enumerable of MemoryRecord objects, performing upsert operations for all provided records in a batch.

Example:

var records = new List<MemoryRecord>
{
    new MemoryRecord("id1", new Dictionary<string, object> { { "key", "value1" } }),
    new MemoryRecord("id2", new Dictionary<string, object> { { "key", "value2" } })
};

await memory.BatchUpsertAsync("yourIndexName", records);

This method efficiently handles the insertion or updating of records, significantly improving performance for operations involving large datasets.

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Microsoft.KernelMemory.MemoryDb.SQLServer:

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Microsoft.KernelMemory

The package contains all the core logic and extensions of Kernel Memory, to index and query any data and documents, using LLM and natural language, tracking sources and showing citations.

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Version Downloads Last updated
0.94.241201.1 172 12/1/2024
0.93.241118.1 1,117 11/19/2024
0.92.241112.1 629 11/12/2024
0.91.241101.1 936 11/1/2024
0.91.241031.1 129 10/31/2024
0.90.241021.1 2,305 10/22/2024
0.90.241020.3 117 10/20/2024
0.80.241017.2 2,499 10/17/2024
0.79.241014.2 1,882 10/14/2024
0.79.241014.1 191 10/14/2024
0.78.241007.1 3,489 10/8/2024
0.78.241005.1 498 10/6/2024
0.77.241004.1 348 10/5/2024
0.76.240930.3 5,322 9/30/2024
0.75.240924.1 7,014 9/24/2024
0.74.240919.1 3,151 9/19/2024
0.73.240906.1 23,186 9/7/2024
0.72.240904.1 2,795 9/5/2024
0.71.240820.1 12,695 8/21/2024
0.70.240803.1 22,629 8/3/2024
0.69.240727.1 8,902 7/27/2024
0.68.240722.1 3,040 7/22/2024
0.68.240716.1 1,983 7/16/2024
0.67.240712.1 1,757 7/12/2024
0.66.240709.1 5,547 7/9/2024
0.65.240620.1 32,299 6/21/2024
0.64.240619.1 777 6/20/2024
0.63.240618.1 2,863 6/18/2024
0.62.240605.1 22,345 6/5/2024
0.62.240604.1 553 6/4/2024
0.61.240524.1 10,029 5/24/2024
0.61.240519.2 10,013 5/19/2024
0.60.240517.1 213 5/18/2024
0.51.240513.2 7,162 5/13/2024