Microsoft.SemanticKernel.Connectors.Onnx
1.31.0-alpha
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Onnx --version 1.31.0-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Onnx -Version 1.31.0-alpha
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Onnx" Version="1.31.0-alpha" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Onnx" Version="1.31.0-alpha" />
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Onnx" />
paket add Microsoft.SemanticKernel.Connectors.Onnx --version 1.31.0-alpha
#r "nuget: Microsoft.SemanticKernel.Connectors.Onnx, 1.31.0-alpha"
#:package Microsoft.SemanticKernel.Connectors.Onnx@1.31.0-alpha
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Onnx&version=1.31.0-alpha&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Onnx&version=1.31.0-alpha&prerelease
About Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.
Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.
Getting Started ⚡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. 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 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. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. 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. |
| .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 was computed. 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. |
-
.NETStandard 2.0
- FastBertTokenizer (>= 1.0.28)
- Microsoft.ML.OnnxRuntime (>= 1.19.2)
- Microsoft.ML.OnnxRuntimeGenAI (>= 0.4.0)
- Microsoft.SemanticKernel.Core (>= 1.31.0)
- System.Numerics.Tensors (>= 8.0.0)
-
net8.0
- FastBertTokenizer (>= 1.0.28)
- Microsoft.ML.OnnxRuntime (>= 1.19.2)
- Microsoft.ML.OnnxRuntimeGenAI (>= 0.4.0)
- Microsoft.SemanticKernel.Core (>= 1.31.0)
- System.Numerics.Tensors (>= 8.0.0)
NuGet packages (2)
Showing the top 2 NuGet packages that depend on Microsoft.SemanticKernel.Connectors.Onnx:
| Package | Downloads |
|---|---|
|
PromptEnhancer
Library with AI utilities, like RAG-based execution pipeline, prompt augmentation, and LLM utilities. |
|
|
Peak.Abp.Silver.AI
Package Description |
GitHub repositories (3)
Showing the top 3 popular GitHub repositories that depend on Microsoft.SemanticKernel.Connectors.Onnx:
| Repository | Stars |
|---|---|
|
ravendb/ravendb
ACID Document Database
|
|
|
dotnet/smartcomponents
Sample intelligent app features provided as reusable .NET components
|
|
|
Azure-Samples/eShopOnAzure
A variant of https://github.com/dotnet/eShop that uses Azure services
|
| Version | Downloads | Last Updated |
|---|---|---|
| 1.68.0-alpha | 810 | 12/3/2025 |
| 1.67.1-alpha | 7,504 | 11/7/2025 |
| 1.67.0-alpha | 156 | 11/3/2025 |
| 1.66.0-alpha | 884 | 10/8/2025 |
| 1.65.0-alpha | 10,743 | 9/10/2025 |
| 1.64.0-alpha | 496 | 8/27/2025 |
| 1.63.0-alpha | 308 | 8/20/2025 |
| 1.62.0-alpha | 4,360 | 8/12/2025 |
| 1.61.0-alpha | 1,453 | 7/24/2025 |
| 1.60.0-alpha | 483 | 7/8/2025 |
| 1.59.0-alpha | 494 | 7/1/2025 |
| 1.58.0-alpha | 270 | 6/25/2025 |
| 1.57.0-alpha | 1,368 | 6/16/2025 |
| 1.56.0-alpha | 2,916 | 6/10/2025 |
| 1.55.0-alpha | 6,982 | 6/3/2025 |
| 1.54.0-alpha | 1,183 | 5/22/2025 |
| 1.53.1-alpha | 170 | 5/21/2025 |
| 1.52.0-alpha | 162 | 5/19/2025 |
| 1.51.0-alpha | 1,650 | 5/16/2025 |
| 1.50.0-alpha | 3,978 | 5/14/2025 |
| 1.49.0-alpha | 374 | 5/8/2025 |
| 1.48.0-alpha | 3,826 | 4/29/2025 |
| 1.47.0-alpha | 750 | 4/17/2025 |
| 1.46.0-alpha | 11,489 | 4/11/2025 |
| 1.45.0-alpha | 502 | 4/3/2025 |
| 1.44.0-alpha | 2,782 | 3/26/2025 |
| 1.43.0-alpha | 634 | 3/25/2025 |
| 1.42.0-alpha | 316 | 3/18/2025 |
| 1.41.0-alpha | 589 | 3/11/2025 |
| 1.40.1-alpha | 311 | 3/3/2025 |
| 1.40.0-alpha | 245 | 2/28/2025 |
| 1.39.0-alpha | 3,215 | 2/25/2025 |
| 1.38.0-alpha | 510 | 2/20/2025 |
| 1.37.0-alpha | 11,368 | 2/12/2025 |
| 1.36.1-alpha | 339 | 2/7/2025 |
| 1.36.0-alpha | 251 | 2/4/2025 |
| 1.35.0-alpha | 263 | 1/28/2025 |
| 1.34.0-alpha | 206 | 1/22/2025 |
| 1.33.0-alpha | 8,314 | 1/7/2025 |
| 1.32.0-alpha | 1,013 | 12/9/2024 |
| 1.31.0-alpha | 1,336 | 11/27/2024 |
| 1.30.0-alpha | 1,105 | 11/19/2024 |
| 1.29.0-alpha | 729 | 11/13/2024 |
| 1.28.0-alpha | 594 | 11/7/2024 |
| 1.27.0-alpha | 207 | 11/5/2024 |
| 1.26.0-alpha | 294 | 10/31/2024 |
| 1.25.0-alpha | 836 | 10/23/2024 |
| 1.24.1-alpha | 266 | 10/18/2024 |
| 1.23.0-alpha | 155 | 10/17/2024 |
| 1.22.0-alpha | 780 | 10/8/2024 |
| 1.21.1-alpha | 744 | 9/25/2024 |
| 1.21.0-alpha | 116 | 9/25/2024 |
| 1.20.0-alpha | 633 | 9/17/2024 |
| 1.19.0-alpha | 343 | 9/10/2024 |
| 1.18.2-alpha | 397 | 9/4/2024 |
| 1.18.1-alpha | 369 | 8/27/2024 |
| 1.18.0-alpha | 2,289 | 8/12/2024 |
| 1.17.2-alpha | 143 | 8/21/2024 |
| 1.17.1-alpha | 188 | 8/7/2024 |
| 1.17.0-alpha | 133 | 8/7/2024 |
| 1.16.2-alpha | 289 | 7/30/2024 |
| 1.16.1-alpha | 243 | 7/23/2024 |
| 1.16.0-alpha | 146 | 7/16/2024 |
| 1.15.1-alpha | 271 | 7/3/2024 |
| 1.15.0-alpha | 279 | 6/19/2024 |
| 1.14.1-alpha | 364 | 6/5/2024 |
| 1.14.0-alpha | 31,668 | 6/4/2024 |
| 1.13.0-alpha | 1,961 | 5/20/2024 |
| 1.12.0-alpha | 146 | 5/16/2024 |
| 1.11.1-alpha | 144 | 5/10/2024 |
| 1.11.0-alpha | 146 | 5/8/2024 |
| 1.10.0-alpha | 10,077 | 4/29/2024 |
| 1.9.0-alpha | 139 | 4/24/2024 |
| 1.8.0-alpha | 138 | 4/22/2024 |
| 1.7.1-alpha | 418 | 4/5/2024 |
| 1.7.0-alpha | 170 | 4/3/2024 |