Rag.NET.Embeddings.Onnx 1.0.0

dotnet add package Rag.NET.Embeddings.Onnx --version 1.0.0
                    
NuGet\Install-Package Rag.NET.Embeddings.Onnx -Version 1.0.0
                    
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="Rag.NET.Embeddings.Onnx" Version="1.0.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Rag.NET.Embeddings.Onnx" Version="1.0.0" />
                    
Directory.Packages.props
<PackageReference Include="Rag.NET.Embeddings.Onnx" />
                    
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 Rag.NET.Embeddings.Onnx --version 1.0.0
                    
#r "nuget: Rag.NET.Embeddings.Onnx, 1.0.0"
                    
#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 Rag.NET.Embeddings.Onnx@1.0.0
                    
#: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=Rag.NET.Embeddings.Onnx&version=1.0.0
                    
Install as a Cake Addin
#tool nuget:?package=Rag.NET.Embeddings.Onnx&version=1.0.0
                    
Install as a Cake Tool

Rag.NET.Embeddings.Onnx

Local ONNX Runtime embeddings for Rag.NET: sentence embeddings, token-level embeddings (the input late chunking needs), and SPLADE sparse encoding — all on your own hardware, no embedding API calls.

Install

dotnet add package Rag.NET.Embeddings.Onnx

Install alongside the core pipeline package (dotnet add package Rag.NET), which supplies the AddRagNet(...) builder the generators register into.

Setup

Inside your AddRagNet(...) builder callback, point at an exported ONNX model and its tokenizer vocabulary:

using Rag.NET.Embeddings.Onnx;

rag.UseOnnxEmbeddings(o =>
{
    o.ModelPath          = "models/all-MiniLM-L6-v2.onnx";
    o.TokenizerVocabPath = "models/vocab.txt";
});

Example

Token-level embeddings feed UseLateChunking from Rag.NET.Chunking, and the SPLADE encoder produces learned sparse vectors for hybrid search in stores that accept them:

using Rag.NET.Embeddings.Onnx;

rag.UseOnnxTokenEmbeddings(o =>
{
    o.ModelPath          = "models/jina-embeddings-v2-base-en.onnx";
    o.TokenizerVocabPath = "models/vocab.txt";
    o.MaxTokens          = 8192;   // default: long-context token embedding
});

rag.UseSpladeEncoder(o =>
{
    o.ModelPath          = "models/splade-v3.onnx";
    o.TokenizerVocabPath = "models/vocab.txt";
    o.TopTerms           = 256;    // default: sparse terms kept per text
});

Full guide

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

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Version Downloads Last Updated
1.0.0 34 9/15/2026
0.1.0 106 8/11/2026