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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better semantic-kernel alternative or higher similarity.
semantic-kernel discussion
semantic-kernel reviews and mentions
Posts with mentions or reviews of semantic-kernel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-23.
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Model context protocol server prompts with microsoft semantic kernel
This post focuses on implementing server prompts, a key feature of the Model Context Protocol (MCP) designed for reusable template definitions. We will explore how to implement these server prompts using both the MCP C# SDK and Semantic Kernel for enhanced templating capabilities. Further details on MCP server prompts can be found in the MCP documentation.
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AWS Bedrock anthropic claude tool call integration with microsoft semantic kernel
As of April 2025, the official Microsoft Semantic Kernel connector for Amazon Microsoft.SemanticKernel.Connectors.Amazon does not natively support tool/function calls. Apparently, Semantic Kernel is shifting its approach towards an LLM abstraction layer based on Microsoft.Extensions.AI, aiming for a more unified and extensible architecture. Currently, only OpenAI and Ollama implementations are available within this new abstraction. It is anticipated that an implementation for AWS Bedrock Anthropic Claude based on Microsoft.Extensions.AI will become available in the future. Therefore, in the interim, I implemented a custom solution. The approach leverages the existing IChatClient interface, making the implementation relatively straightforward. Since function calls are supported by this interface, the solution involves implementing it on top of the AWS Bedrock Runtime SDK.
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Beyond Basic RAG: Measuring Embedding and Generation Performance with RAGAS
Semantic Kernel
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Model context protocol integration with microsoft semantic kernel
The Model Context Protocol (MCP) aims to standardize connections between AI systems and data sources. This post demonstrates integrating mcp-playwright with Semantic Kernel and phi4-mini (via Ollama) for browser automation.
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Exploring AI Frameworks: A Deep Dive into Semantic Kernel and My Open Source Contributions
If you're interested in learning more about Semantic Kernel or wish to contribute, visit the Semantic Kernel GitHub repository to get started.
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Claude 3.7 Sonnet and Claude Code
I would love to have a C# / .NET SDK available for Claude so it can be integrated into Semantic Kernel [0][1]. Any plans for this?
[0] https://github.com/microsoft/semantic-kernel/issues/5690#iss...
[1] https://github.com/microsoft/semantic-kernel/pull/7364
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Chatbot with Semantic Kernel - Part 6: AI Connectors 🔌
Next, we define the settings for the connector. There are different ways of defining these settings; in this example, we use settings defined via environment variables. You can findhere all the defined settings in Semantic Kernel for the different connectors.
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Chatbot with Semantic Kernel - Part 5: Text-to-speech 📣
You can check all the settings used on Semantic Kernel on the official Github repository.
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Azure OpenAI Error Handling in Semantic Kernel
By configuring an HttpClient instance, you can gain more control over HTTP error handling. Semantic Kernel disables the default retry policy when HttpClient is provided. This allows you to implement custom retry logic using the Microsoft.Extensions.Http.Resilience library. With this approach, you can define the number of retry attempts, timeouts, and how to handle specific error codes like 429 (rate limit exceeded). It is strongly recommended to add retry policies to handle transient errors with HttpClient
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Working with multiple language models in Semantic Kernel
All AI-related services, including chat completion and text embedding, implement the IAIService interface, which defines a metadata property. This metadata contains attributes specific to the service implementation. For instance, the AzureOpenAIChatCompletionService includes the deployment name and model name. The default IAIServiceSelector resolves services by serviceId first, and then by modelId to match the IAIService metadata. To gain full control over AI service selection, you can implement a custom IAIServiceSelector and register it as a service with Semantic Kernel.
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A note from our sponsor - InfluxDB
www.influxdata.com | 20 May 2025
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about 19 hours ago
microsoft/semantic-kernel is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of semantic-kernel is C#.
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