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Microsoft Semantic Kernel Articles, Tutorials & News
Microsoft Semantic Kernel articles, tutorials, and news from the DotNetNews archive.
91 articles Updated Page 2 of 4
Browse additional Microsoft Semantic Kernel articles from the DotNetNews archive.
Microsoft Semantic Kernel articles
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Building AI-Powered SQL Assistants with Semantic Kernel and .NET
c-sharpcorner.com Issue #482
Build AI-powered SQL assistants with Semantic Kernel and .NET to unlock data insights. Empower users with natural language queries and secure data access.
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Building AI-Powered DevOps Assistants for Internal Engineering Teams
c-sharpcorner.com Issue #482
Build AI-powered DevOps assistants with ASP.NET Core, Azure OpenAI, and Semantic Kernel to boost engineering productivity and accelerate software delivery.
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How to Build AI-Powered Data Analysts Using Semantic Kernel and .NET
c-sharpcorner.com Issue #482
Build AI-powered data analysts with Semantic Kernel and .NET. Understand natural language, query data, and generate actionable business insights.
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How to Build Private Enterprise ChatGPT Solutions Using .NET
c-sharpcorner.com Issue #482
Build secure, private Enterprise ChatGPT solutions with .NET, Azure OpenAI, Semantic Kernel, and Azure AI Search for internal knowledge access.
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Building AI-Powered Release Notes Generators Using ASP.NET Core
c-sharpcorner.com Issue #481
Automate software release notes with ASP.NET Core, Azure OpenAI, and Semantic Kernel. Streamline documentation and improve communication.
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From RAG to Agentic RAG: Building Self-Improving AI Applications in .NET
c-sharpcorner.com Issue #479
Learn how Agentic RAG extends traditional Retrieval-Augmented Generation by combining AI agents, reasoning, planning, and tool usage to build intelligent self-improving AI applications in .NET.
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On .NET Live - Demystifying Microsoft Agent Framework Middleware
youtube.com Issue #477
In this session we'll walk through how Daniel Costea uses ChatClient and Agent middleware to turn plain .NET AI agents into production‑ready systems with observability, safety, and cost control. Start...
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Building an MCP Server for a Vehicle Registration API in C# .NET 8
blog.dotnetframework.org Issue #474
If you’ve spent any time with Claude recently, you may have noticed it can do things that feel surprisingly connected to the real world — looking up domain expiry dates, checking live weather, queryin...
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How to Build Retrieval-Augmented Generation (RAG) Applications in .NET
c-sharpcorner.com Issue #474
Learn how to build Retrieval-Augmented Generation (RAG) applications in .NET using ASP.NET Core, embeddings, vector databases, and large language models.
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How to Use Semantic Kernel for AI Application Development
c-sharpcorner.com Issue #473
Learn how to use Semantic Kernel for AI application development in .NET. Build chatbots, AI assistants, RAG applications, and intelligent workflows.
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How to Fix "Maximum Request Length Exceeded" in ASP.NET Applications
c-sharpcorner.com Issue #472
Learn how to fix the "Maximum Request Length Exceeded" error in ASP.NET and IIS. Configure maxRequestLength and maxAllowedContentLength settings to support large file uploads up to 100 MB or more.
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Skills in Claude Code - Reusable Prompts and Workflows
codewithmukesh.com Issue #464
Build reusable skills in Claude Code with SKILL.md to automate .NET workflows. Complete frontmatter reference, arguments, subagent delegation, and 5 design patterns from 47 production skills.
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We Built an AI Agent Platform on .NET. Then Microsoft Shipped Agent Framework 1.0.
medium.com Issue #463
Six architecture mistakes from building an internal agent platform on Semantic Kernel — and the handful of decisions that meant the ground…
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A Semantic Kernel Alternative for .NET — When and Why You’d Reach for One
medium.com Issue #448
If you’re building an AI feature in .NET in 2026, the first framework you hear about is Microsoft Semantic Kernel. It’s well-funded…
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AI integrations: Rely or verify? Checking Semantic Kernel
unicorn-dev.medium.com Issue #446
Semantic Kernel is a Microsoft’s SDK for integrating AI models into applications.
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Using Microsoft Agent Framework with Foundry managed memory
youtube.com Issue #437
Lewis Liu and Amy Boyd walk through how memory is natively integrated with Microsoft Agent Framework and LangGraph, enabling agents to persist user preferences, conversation context, and task outcomes...
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Running Local AI with LlamaSharp in .NET: A Developer's Guide
c-sharpcorner.com Issue #437
Run powerful AI models locally in .NET with LlamaSharp! This guide covers setup, model selection (Llama 3, Phi-4), GPU acceleration, and integration with Semantic Kernel.
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How to Build a Multi-Agent Workflow in C# Guide
c-sharpcorner.com Issue #436
Build intelligent multi-agent systems in C# with Semantic Kernel. Automate complex tasks by orchestrating AI agents for research, writing, and review. Learn step-by-step!
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How to Organize Helpers Without Breaking Design?
medium.com Issue #410
Helper methods are useful, until they quietly destroy your design. Here’s how to organize helper methods without cluttering your code.
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Beyond Data: Adding an AI “Brain” to your C# Applications
medium.com Issue #399
In the previous installment (Link here) of our C# series, we built VectoDash — a high-performance, cross-platform weather dashboard. It…
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Ready to explore how AI is transforming the .NET world?
medium.com Issue #394
🚀 Ready to explore how AI is transforming the .NET world? Join our FREE workshop on AI with .NET and discover why .NET developers are in…
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What is Semantic Kernel and how does it help build AI agents in .NET?
c-sharpcorner.com Issue #394
Semantic Kernel simplifies AI agent creation in .NET. This open-source SDK connects your code to AI models, enabling powerful features like RAG, plugins, and more.
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Orchestrating Durable AI Agents in .NET
medium.com Issue #387
In modern AI systems, it’s not enough for agents to handle single requests — they must coordinate complex, multi-step workflows that can… Continue reading on GoPenAI »
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RAG vs LLM Explained: Why Modern AI Apps Need More Than ChatGPT
c-sharpcorner.com Issue #378
Unlock the power of accurate AI! Learn the crucial difference between RAG and LLMs. Build real-world AI apps with data security and trustworthy responses.