Microsoft.SemanticKernel.Connectors.Onnx
1.80.0-alpha
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Onnx --version 1.80.0-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Onnx -Version 1.80.0-alpha
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Onnx" Version="1.80.0-alpha" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Onnx" Version="1.80.0-alpha" />
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Onnx" />
paket add Microsoft.SemanticKernel.Connectors.Onnx --version 1.80.0-alpha
#r "nuget: Microsoft.SemanticKernel.Connectors.Onnx, 1.80.0-alpha"
#:package Microsoft.SemanticKernel.Connectors.Onnx@1.80.0-alpha
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Onnx&version=1.80.0-alpha&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Onnx&version=1.80.0-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 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. |
| .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 (>= 1.23.2)
- Microsoft.ML.OnnxRuntimeGenAI (>= 0.11.4)
- Microsoft.SemanticKernel.Core (>= 1.80.0)
-
net10.0
- FastBertTokenizer (>= 1.0.28)
- Microsoft.ML.OnnxRuntime (>= 1.23.2)
- Microsoft.ML.OnnxRuntimeGenAI (>= 0.11.4)
- Microsoft.SemanticKernel.Core (>= 1.80.0)
-
net8.0
- FastBertTokenizer (>= 1.0.28)
- Microsoft.ML.OnnxRuntime (>= 1.23.2)
- Microsoft.ML.OnnxRuntimeGenAI (>= 0.11.4)
- Microsoft.SemanticKernel.Core (>= 1.80.0)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on Microsoft.SemanticKernel.Connectors.Onnx:
| Package | Downloads |
|---|---|
|
Telerik.Documents.AI.RAG
AI RAG classes for Telerik Document Processing. |
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PromptEnhancer
Library with AI utilities, like RAG-based execution pipeline, prompt augmentation, and LLM utilities. |
|
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Peak.Abp.Silver.AI
Package Description |
|
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Telerik.Reporting.AI.RAG
This package contains Telerik Reporting RAG implementation for enhancing the performance of LLMs working with Reporting engine. This package is part of the Progress® Telerik® Reporting solution. The tool is part of the full product installer as well. IMPORTANT: This is commercial software. To use it, you must agree to the Telerik End User License Agreement for Telerik Reporting (https://www.telerik.com/purchase/license-agreement/reporting-dlw-s). If you do not have a commercial license, the usage of this product is governed by the trial license terms. Telerik Reporting requires activation using a license key — this applies to both the trial and commercial versions of the product. Telerik Reporting licenses can be obtained through the Telerik Reporting page (https://www.telerik.com/purchase/individual/reporting). For more information on licensing, configuration, and troubleshooting, refer to the product documentation's License section (https://docs.telerik.com/reporting/licensing/setting-up-your-telerik-reporting-license-key). |
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 |
|---|---|---|
| 1.80.1-alpha | 4,851 | 9/3/2026 |
| 1.80.0-alpha | 614 | 8/18/2026 |
| 1.79.0-alpha | 9,321 | 8/6/2026 |
| 1.78.0-alpha | 6,353 | 7/7/2026 |
| 1.77.0-alpha | 14,574 | 5/28/2026 |
| 1.76.0-alpha | 7,977 | 5/11/2026 |
| 1.75.0-alpha | 4,461 | 4/29/2026 |
| 1.74.0-alpha | 11,219 | 3/20/2026 |
| 1.73.0-alpha | 17,379 | 3/4/2026 |
| 1.72.0-alpha | 32,001 | 2/19/2026 |
| 1.71.0-alpha | 21,511 | 2/16/2026 |
| 1.70.0-alpha | 9,495 | 1/23/2026 |
| 1.69.0-alpha | 214 | 1/19/2026 |
| 1.68.0-alpha | 7,529 | 12/3/2025 |
| 1.67.1-alpha | 15,443 | 11/7/2025 |
| 1.67.0-alpha | 217 | 11/3/2025 |
| 1.66.0-alpha | 2,812 | 10/8/2025 |
| 1.65.0-alpha | 13,104 | 9/10/2025 |
| 1.64.0-alpha | 558 | 8/27/2025 |
| 1.63.0-alpha | 374 | 8/20/2025 |