LMSupply.Embedder 0.56.0

.NET 10.0 This package targets .NET 10.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package LMSupply.Embedder --version 0.56.0
                    


                    

                
NuGet\Install-Package LMSupply.Embedder -Version 0.56.0
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="LMSupply.Embedder" Version="0.56.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="LMSupply.Embedder" Version="0.56.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="LMSupply.Embedder" />
                    


                            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 LMSupply.Embedder --version 0.56.0
                    


                    

                
#r "nuget: LMSupply.Embedder, 0.56.0"
#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 LMSupply.Embedder@0.56.0
#: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=LMSupply.Embedder&version=0.56.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=LMSupply.Embedder&version=0.56.0
                    


                            Install as a Cake Tool

LMSupply.Embedder

Local text embedding for .NET with automatic model downloading.

Features

  • Zero-config: Models download automatically from HuggingFace
  • GPU Acceleration: CUDA, DirectML (Windows), CoreML (macOS)
  • Cross-platform: Windows, Linux, macOS
  • Simple API: Just 2 lines of code to get started

Quick Start

using LMSupply.Embedder;

// Load the default model
await using var model = await LocalEmbedder.LoadAsync("default");

// Generate embeddings
float[] embedding = await model.EmbedAsync("Hello, world!");
Console.WriteLine($"Dimensions: {embedding.Length}");

Query/Passage Embeddings

Some models (the E5 family, Nomic) are fine-tuned with an asymmetric text-prefix convention — query embeddings and document/passage embeddings need different prefixes for accurate retrieval. EmbedQueryAsync/EmbedPassageAsync apply the right prefix automatically from the model's ModelInfo (a no-op passthrough for models that don't need one):

await using var model = await LocalEmbedder.LoadAsync("multilingual-e5-base");

float[] queryEmbedding = await model.EmbedQueryAsync("what is the capital of France?");
float[] passageEmbedding = await model.EmbedPassageAsync("Paris is the capital of France.");

Batch and Matryoshka-truncated (dimensions:) overloads exist for both, mirroring EmbedAsync.

Available Models

Four standard aliases (LocalEmbedder.LoadAsync("default"), etc.) plus a longer list of models loadable by their explicit short name (LocalEmbedder.LoadAsync("multilingual-e5-base")).

Aliases

Alias Model Dimensions Prefix Description
default BAAI/bge-m3 1024 — 568M params, 100+ languages, 8K context, SOTA multilingual
fast intfloat/multilingual-e5-small 384 query/passage 118M params, 100+ languages, lightweight
quality BAAI/bge-m3 1024 — Same model as default; exposed separately for pipelines that explicitly request the quality tier
large intfloat/multilingual-e5-large 1024 query/passage 560M params, 100+ languages, highest dense quality (512-token context limit — use default for long documents)

Explicit models (by short name)

Model Dimensions Prefix Description
nomic-embed-text-v1.5 768 (Matryoshka 64–768) search_query/search_document 137M params, English-first, 8K context
all-mpnet-base-v2 768 — 110M params, legacy quality model, English
bge-base-en-v1.5 768 — 110M params, excellent quality, English
bge-large-en-v1.5 1024 — 335M params, highest accuracy BGE, English
e5-small-v2 384 query/passage 33M params, English
e5-base-v2 768 query/passage 110M params, excellent retrieval, English
multilingual-e5-small 384 query/passage 118M params, 100+ languages, compact
multilingual-e5-base 768 query/passage 278M params, 100+ languages, quality
multilingual-e5-large 1024 query/passage 560M params, 100+ languages, highest quality
gte-large-en-v1.5 1024 — 434M params, 8K context, highest accuracy GTE

"Prefix" marks models fine-tuned with the query/passage convention (see Query/Passage Embeddings above) — — means the model needs no prefix and EmbedQueryAsync/EmbedPassageAsync behave as a plain passthrough for it.

GPU Acceleration

# NVIDIA GPU
dotnet add package Microsoft.ML.OnnxRuntime.Gpu

# Windows (AMD/Intel/NVIDIA)
dotnet add package Microsoft.ML.OnnxRuntime.DirectML
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 (6)

Showing the top 5 NuGet packages that depend on LMSupply.Embedder:

Package Downloads
FluxIndex.MCP

MCP (Model Context Protocol) server implementation for FluxIndex RAG services
FluxIndex.Providers.LMSupply

LMSupply local AI embedding, reranking, and text completion provider for FluxIndex
IronHive.Host

IronHive Host - reusable AI agent host SDK (agent loop, tools, session, provider integrations) for CLI, server, and embedded surfaces
IronHive.Cli.Core

IronHive CLI Core - Agent loop, tools, session management, and provider integrations for building AI-powered CLI tools
FileFlux.Providers.LMSupply

LMSupply local ONNX model provider for FileFlux: document analysis (summarization, metadata extraction), embeddings, OCR, and image captioning — no API key required.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.64.0 0 9/11/2026
0.63.0 52 9/11/2026
0.62.0 92 9/10/2026
0.61.0 143 9/9/2026
0.60.0 110 9/9/2026
0.59.1 140 9/8/2026
0.59.0 125 9/8/2026
0.58.0 177 9/7/2026
0.57.0 137 9/7/2026
0.56.0 109 9/7/2026
0.55.5 84 9/7/2026
0.55.4 243 9/7/2026
0.55.0 212 9/5/2026
0.45.0 91 9/3/2026
0.44.0 93 9/3/2026
0.42.10 182 8/31/2026
0.42.5 109 8/29/2026
0.42.4 117 8/27/2026
0.42.3 101 8/25/2026
0.42.2 336 8/24/2026
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