RAGToolkit.AI.VectorData.Tei 1.0.1

dotnet add package RAGToolkit.AI.VectorData.Tei --version 1.0.1
                    
NuGet\Install-Package RAGToolkit.AI.VectorData.Tei -Version 1.0.1
                    
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="RAGToolkit.AI.VectorData.Tei" Version="1.0.1" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="RAGToolkit.AI.VectorData.Tei" Version="1.0.1" />
                    
Directory.Packages.props
<PackageReference Include="RAGToolkit.AI.VectorData.Tei" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add RAGToolkit.AI.VectorData.Tei --version 1.0.1
                    
#r "nuget: RAGToolkit.AI.VectorData.Tei, 1.0.1"
                    
#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.
#:package RAGToolkit.AI.VectorData.Tei@1.0.1
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=RAGToolkit.AI.VectorData.Tei&version=1.0.1
                    
Install as a Cake Addin
#tool nuget:?package=RAGToolkit.AI.VectorData.Tei&version=1.0.1
                    
Install as a Cake Tool

RAGToolkit.AI.VectorData.Tei

用 Hugging Face Text Embeddings Inference 的 /embed_sparse 端点做稀疏向量生成 —— 面向 SPLADE 这类学习式稀疏模型。

用法

using RAGToolkit.AI.VectorData.Tei;

var generator = new TextEmbeddingsInferenceSparseGenerator(httpClient);

builder.Services.AddSingleton<ISparseEmbeddingGenerator<string>>(generator);

httpClient.BaseAddress 指向 TEI 服务,例如 http://localhost:8080。

注册到 DI 之后,Qdrant 那边没显式配生成器的稀疏选项会自动挂上它 —— 见 ...VectorData.Qdrant。

API

public sealed class TextEmbeddingsInferenceSparseGenerator(
    HttpClient httpClient,
    string requestPath = "/embed_sparse") : ISparseEmbeddingGenerator<string>

请求体 { "inputs": [...] },响应是每个输入一组 { index, value }。

注意

  • 只做稀疏。 稠密嵌入走 IEmbeddingGenerator(TEI 的 /embed,或任何其他 provider)。
  • TEI 不能做文本生成 —— 它是嵌入 / 重排服务,不是 chat 服务。

依赖

  • RAGToolkit.AI.VectorData.Abstractions
  • Microsoft.Extensions.AI.Abstractions

许可证

MIT —— 见 LICENSE。

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.1 44 10/9/2026
1.0.0 42 10/9/2026