Milvus.Client 2.3.0-preview.1

Prefix Reserved
This is a prerelease version of Milvus.Client.
dotnet add package Milvus.Client --version 2.3.0-preview.1                
NuGet\Install-Package Milvus.Client -Version 2.3.0-preview.1                
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="Milvus.Client" Version="2.3.0-preview.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Milvus.Client --version 2.3.0-preview.1                
#r "nuget: Milvus.Client, 2.3.0-preview.1"                
#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 Milvus.Client as a Cake Addin
#addin nuget:?package=Milvus.Client&version=2.3.0-preview.1&prerelease

// Install Milvus.Client as a Cake Tool
#tool nuget:?package=Milvus.Client&version=2.3.0-preview.1&prerelease                

milvus-sdk-c#

Github Repository

Milvus docs

Overview

This is the C# SDK for Milvus. It is implemented using the gRPC protocol and provides most of the features of the Milvus server. And restful api support is ready now.

Create a client.

Grpc

using Milvus.Client;

MilvusClient milvusClient = new MilvusClient("{Endpoint}", "{Port}", "{Username}", "{Password}", "{Database}(Optional)");
MilvusHealthState result = await milvusClient.HealthAsync();

Create a collection.

string collectionName = "book";
MilvusCollection collection = milvusClient.GetCollection(collectionName);

//Check if this collection exists
var hasCollection = await milvusClient.HasCollectionAsync(collectionName);

if(hasCollection){
    await collection.DropAsync();
    Console.WriteLine("Drop collection {0}",collectionName);
}

await milvusClient.CreateCollectionAsync(
            collectionName,
            new[] {
                FieldSchema.Create<long>("book_id", isPrimaryKey:true),
                FieldSchema.Create<long>("word_count"),
                FieldSchema.CreateVarchar("book_name", 256),
                FieldSchema.CreateFloatVector("book_intro", 2L)
            }
        );

Insert vectors.

Random ran = new ();
List<long> bookIds = new ();
List<long> wordCounts = new ();
List<ReadOnlyMemory<float>> bookIntros = new ();
List<string> bookNames = new ();
for (long i = 0L; i < 2000; ++i)
{
    bookIds.Add(i);
    wordCounts.Add(i + 10000);
    bookNames.Add($"Book Name {i}");

    float[] vector = new float[2];
    for (int k = 0; k < 2; ++k)
    {
        vector[k] = ran.Next();
    }
    bookIntros.Add(vector);
}

MilvusCollection collection = milvusClient.GetCollection(collectionName);

MutationResult result = await collection.InsertAsync(
    new FieldData[]
    {
        FieldData.Create("book_id", bookIds),
        FieldData.Create("word_count", wordCounts),
        FieldData.Create("book_name", bookNames),
        FieldData.CreateFloatVector("book_intro", bookIntros),
    });

// Check result
Console.WriteLine("Insert count:{0},", result.InsertCount);

Create a index and load collection.

MilvusCollection collection = milvusClient.GetCollection(collectionName);
await collection.CreateIndexAsync(
    "book_intro",
    //MilvusIndexType.IVF_FLAT,//Use MilvusIndexType.IVF_FLAT.
    IndexType.AutoIndex,//Use MilvusIndexType.AUTOINDEX when you are using zilliz cloud.
    SimilarityMetricType.L2);

// Check index status
IList<MilvusIndexInfo> indexInfos = await collection.DescribeIndexAsync("book_intro");

foreach(var info in indexInfos){
    Console.WriteLine("FieldName:{0}, IndexName:{1}, IndexId:{2}", info.FieldName , info.IndexName,info.IndexId);
}

// Then load it
await milvusClient.LoadCollectionAsync(collectionName);

Search and query.

// Search
List<string> search_output_fields = new() { "book_id" };
List<List<float>> search_vectors = new() { new() { 0.1f, 0.2f } };
SearchResults searchResult = await collection.SearchAsync(
    "book_intro",
    new ReadOnlyMemory<float>[] { new[] { 0.1f, 0.2f } },
    SimilarityMetricType.L2,
    limit: 2);

// Query
string expr = "book_id in [2,4,6,8]";

QueryParameters queryParameters = new ();
queryParameters.OutputFields.Add("book_id");
queryParameters.OutputFields.Add("word_count");

IReadOnlyList<FieldData> queryResult = await collection.QueryAsync(
    expr,
    queryParameters);
Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  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. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 is compatible.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (4)

Showing the top 4 NuGet packages that depend on Milvus.Client:

Package Downloads
Microsoft.SemanticKernel.Connectors.Milvus

Milvus connector for Semantic Kernel plugins and semantic memory

Microsoft.DotNet.Interactive.AI

Support for AI experimentation in notebooks

Aspire.Milvus.Client

A Milvus client that integrates with Aspire, including logging.

AspNetCore.Pulse.Milvus

Pulse.Milvus is the health check package for Milvus.

GitHub repositories (5)

Showing the top 5 popular GitHub repositories that depend on Milvus.Client:

Repository Stars
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
dotnet/aspire
Tools, templates, and packages to accelerate building observable, production-ready apps
testcontainers/testcontainers-dotnet
A library to support tests with throwaway instances of Docker containers for all compatible .NET Standard versions.
dotnet/dotnet
Home of .NET's Virtual Monolithic Repository which includes all the code needed to build the .NET SDK from source
MayDay-wpf/AIBotPublic
AIBot PRO 是一个基于.NET 6 的 AI聚合客户端 to C 弱 to B 可以集成众多AI产品(ChatGPT,Gemini,Claude,文心一言,通义千问,讯飞星火),无感切换对话,支持知识库、插件开发、AI流程引擎(workflow)、以及开放平台对外输出定制化的特色AI API
Version Downloads Last updated
2.3.0-preview.1 108,127 3/20/2024
2.2.2-preview.6 158,794 9/12/2023
2.2.2-preview.5 906 9/9/2023
2.2.2-preview.4 931 9/4/2023
2.2.2-preview.3 513 8/29/2023
2.2.2-preview.2 148 8/22/2023