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• Building AI Workflows with Semantic Kernel Process Framework in .NETJul 14, 2026. Build structured AI workflows in .NET with Semantic Kernel's Process Framework. Orchestrate AI, logic, tools, and human interaction for complex applications.
• Implementing Long-Term Memory for AI Agents with Semantic Kernel and PostgreSQLJul 14, 2026. Unlock AI's potential with long-term memory using Semantic Kernel & PostgreSQL. Build context-aware, personalized agents.
• Semantic Kernel Plugins Explained: Extending AI Applications with .NETJul 13, 2026. Unlock AI potential with Semantic Kernel Plugins! Extend .NET apps to interact with databases, APIs, and real-world systems for powerful AI agents.
• Building AI-Powered SQL Assistants with Semantic Kernel and .NETJun 16, 2026. Build AI-powered SQL assistants with Semantic Kernel and .NET to unlock data insights. Empower users with natural language queries and secure data access.
• How to Build AI-Powered Data Analysts Using Semantic Kernel and .NETJun 15, 2026. Build AI-powered data analysts with Semantic Kernel and .NET. Understand natural language, query data, and generate actionable business insights.
• How to Build AI-Powered Data Analyst Using Semantic Kernel and .NETJun 15, 2026. Build an AI-powered data analyst with Semantic Kernel and .NET. Transform business data into actionable insights using natural language.
• Semantic Kernel vs LangChain vs AutoGen for Enterprise .NET DevelopmentJun 08, 2026. Compare Semantic Kernel, LangChain, and AutoGen for enterprise .NET development. Learn the strengths, weaknesses, architecture differences, and best use cases for each AI framework.
• How to Use Semantic Kernel for AI Application DevelopmentJun 05, 2026. Learn how to use Semantic Kernel for AI application development in .NET. Build chatbots, AI assistants, RAG applications, and intelligent workflows.
• Using Semantic Kernel with .NET for AI Agent DevelopmentMay 20, 2026. Explore AI agent development with Semantic Kernel and .NET. Learn about orchestration, memory, planning, plugins, and enterprise deployment for intelligent apps.
• How Do I Build an Autonomous AI Agent in C# Using Semantic Kernel and .NET 10?Apr 09, 2026. Build autonomous AI agents in C# using Semantic Kernel and .NET 10! This guide covers planning, skills, memory, and integration for intelligent apps. Boost productivity!
• Building Your First AI Agent: Connecting Semantic Kernel to Real Data in .NETApr 09, 2026. Build your first .NET AI Agent using Semantic Kernel! Connect LLMs to real data with plugins. Learn to query a mock database for inventory levels automatically.
• What is Semantic Kernel in .NET and How to Build an AI Agent with C#Apr 08, 2026. Build AI agents in .NET using Semantic Kernel! This guide covers core concepts, C# implementation, and real-world examples for intelligent applications. Automate tasks with AI!
• AgenticSDB: A Purpose-Built Kernel for AI AgentsMar 16, 2026. AgenticSDB: A purpose-built kernel for AI agents, offering a verified agent memory runtime designed for production-grade cognition, governance, and execution. It's a cognition backbone, not just storage.
• What is Semantic Kernel and how does it help build AI agents in .NET?Feb 07, 2026. 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.
• Building AI-Enhanced Applications: Integrating LangChain and Semantic Kernel with ASP.NET CoreNov 10, 2025. Enhance ASP.NET Core APIs with AI using LangChain and Semantic Kernel. Learn to integrate LLMs for intelligent automation, natural language processing, and smart insights.
• Build a Smart Private Chatbot with Semantic Kernel and APIsSep 12, 2024. This guide covers integrating advanced NLP techniques and machine learning to create a secure, efficient, and customizable AI chatbot with robust data privacy.
• AI Receptionist with Microsoft Semantic Kernel and OpenAIAug 23, 2024. Create an AI receptionist using Microsoft Semantic Kernel and Azure OpenAI to automate customer interactions. Integrate Semantic Kernel with OpenAI for chat completion, manage dynamic content, and handle user inquiries efficiently.
• Semantic Kernel - A brief overviewAug 05, 2024. In the context of language processing and computational linguistics, semantic kernels are mathematical tools or functions used to measure and compare the semantic similarity between pieces of text.
• Utilizing Generative AI with Semantic Kernel in .NETDec 21, 2023. This tutorial is to understand the Semantic Kernel Framework developed by Microsoft for working with Generative AI solutions. The idea of Semantic Kernel is to work like a bridge between Generative AI and your platform, giving you the flexibility to decouple Gen AI platforms easily. It is available in Python, Java, and .NET and might have more support added in the future. The popular alternative is known as Langchain, but it is not available in .NET.
• Microsoft Semantic Kernel vs Azure OpenAINov 02, 2023. This article will explore the distinctions between Semantic Kernel and Azure OpenAI. This article is all about comparison of Semantic Kernel and Azure OpenAI provides a clear and concise understanding of the differences between these two platforms. The table-format overview effectively summarizes the key features and distinctions, making it easy for readers to comprehend the variations in type, supported models, integration, orchestration, and customization capabilities.
• Compilation And Installation Of Kernel In LinuxApr 30, 2019. In this article, you will learn how to compile and install Linux Kernel on a machine.
• Resolve Android Virtual Device Launch Error "HAX Kernel Module is Not Installed" in Android StudioAug 01, 2015. In this article you will learn how to solve Android Virtual Device (AVD) launch error, HAX Kernel Module is not installed in Android Studio.
• Building an AI Agent Marketplace with ASP.NET Core and Semantic KernelJul 14, 2026. Build an AI Agent Marketplace with ASP.NET Core & Semantic Kernel. Discover, manage, and monetize AI agents efficiently for your organization.
• Azure AI Foundry Agents vs Semantic Kernel: Which Framework Should You Choose?Jul 10, 2026. Azure AI Foundry Agents vs. Semantic Kernel: Compare features, use cases, and choose the right Microsoft framework for your AI agent development needs.
• Building a Developer Copilot for Internal Documentation Using Semantic KernelJun 30, 2026. Build an AI-powered Developer Copilot for internal docs using Semantic Kernel & .NET. Enhance knowledge discovery & productivity.
• Event-Driven AI Agents with Azure Functions and Semantic KernelJun 08, 2026. Learn how to build event-driven AI agents using Azure Functions and Semantic Kernel. Discover serverless AI architectures, event processing patterns, and best practices for enterprise .NET applications.
• Creating AI Chatbots in C# Using OpenAI, Azure AI, and Semantic KernelMay 20, 2026. Build AI chatbots in C# using OpenAI, Azure AI, and Semantic Kernel. This guide covers setup, integration, and deployment for .NET developers. Learn to create intelligent, scalable chatbot systems.
• The Future of AI in .NET: Building Enterprise Copilots with RAG and Semantic KernelFeb 27, 2026. Unlock the power of AI in .NET! Learn how to build enterprise copilots with RAG and Semantic Kernel. Explore real-world use cases and future trends in AI agents.
• Agentic AI with C# Using Semantic Kernel: Designing Intelligent, Autonomous SystemsJan 28, 2026. Explore Agentic AI with C# and Semantic Kernel. Build intelligent, autonomous systems for enterprise. Learn to design secure, observable AI agents. #CSharp
• Build Custom AI Agents In .NET With Semantic KernelAug 28, 2025. Build custom AI agents in .NET using Semantic Kernel. Learn to control behavior with tools, memory, planning, and policies for predictable, repeatable results.
• Step-by-Step Guide to Building AI Agents with Semantic KernelAug 21, 2025. Learn how to use Microsoft Semantic Kernel with Azure OpenAI to build intelligent apps, AI agents, and copilots. Explore LLM integration, plugins, and prompt engineering for smarter AI solutions.
• How to Use Google Gemini with Semantic KernelJan 16, 2025. This article explains the integration between Google Gemini and Semantic Kernel. Combine Google Gemini's multimodal AI with Microsoft's Semantic Kernel for seamless integration in your .NET applications. This article covers setup, integration, and unleashing the power of generative AI for innovation.
• Exploring Software and Hardware Interaction via Linux KernelNov 05, 2024. This article explores how the Linux Kernel facilitates interaction between software and hardware. By contributing to the kernel, developers gain hands-on experience with system programming, memory management, and process scheduling.
• Integrate AI into ASP.NET Core App using Semantic KernelAug 29, 2024. Semantic Kernel simplifies AI integration by providing an SDK that connects applications with LLMs like OpenAI and Hugging Face. It features plugins, an orchestration layer, and connectors to streamline setup. In ASP.NET Core, Semantic Kernel reduces complexity, allowing easy addition of AI capabilities.
• Getting started with Microsoft Semantic KernelSep 08, 2023. Microsoft Semantic Kernel is an Open Source lightweight SDK for consuming Large Language Models (LLMs) in normal programming languages like C# and Python
• Create Your Own KernelJan 13, 2018. In this article, we will create a simple kernel in C from scratch.
• Linux io_uring Explained: High-Performance I/O for Modern ApplicationsJul 08, 2026. Unlock high-performance I/O with Linux io_uring. Reduce overhead, minimize context switches, and boost throughput for modern applications.
• What Is eBPF? A Developer's Guide to Modern Linux ObservabilityJul 06, 2026. Unlock modern Linux observability with eBPF. Safely run custom kernel programs for deep visibility into apps, network, and security.
• How to Build Private Enterprise ChatGPT Solutions Using .NETJun 15, 2026. Build secure, private Enterprise ChatGPT solutions with .NET, Azure OpenAI, Semantic Kernel, and Azure AI Search for internal knowledge access.
• Building Internal AI Copilots for Engineering Teams: Architecture and Best PracticesJun 15, 2026. Build internal AI copilots for engineering teams using ASP.NET Core, Semantic Kernel, Azure OpenAI, and Azure AI Search for enhanced productivity.
• Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET CoreJun 15, 2026. Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
• Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET CoreJun 15, 2026. Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
• Building Multi-Tenant AI Applications in ASP.NET CoreJun 15, 2026. Build secure, scalable multi-tenant AI apps in ASP.NET Core with Azure OpenAI, Semantic Kernel, and Azure AI Search.
• Cost-Efficient RAG Architectures for Enterprise AI ApplicationsJun 15, 2026. Build cost-efficient RAG architectures for enterprise AI. Optimize retrieval, context, models, and caching for sustainable AI.
• Building AI-Powered DevOps Assistants for Internal Engineering TeamsJun 15, 2026. Build AI-powered DevOps assistants with ASP.NET Core, Azure OpenAI, and Semantic Kernel to boost engineering productivity and accelerate software delivery.
• Building AI-Powered Architecture Review Systems with .NETJun 15, 2026. Build AI-powered architecture review systems with .NET, Azure OpenAI, and Semantic Kernel for faster, consistent, and scalable software design.
• Building AI-Powered Release Notes Generators Using ASP.NET CoreJun 15, 2026. Automate software release notes with ASP.NET Core, Azure OpenAI, and Semantic Kernel. Streamline documentation and improve communication.
• Building AI Agents with .NET 9 and Azure OpenAI: Complete GuideJun 10, 2026. Build advanced AI agents with .NET 9 & Azure OpenAI. Master architecture, Semantic Kernel, RAG, function calling, and best practices for enterprise automation.
• From RAG to Agentic RAG: Building Self-Improving AI Applications in .NETJun 08, 2026. 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.
• Structured Outputs in LLM Applications: A Complete C# Developer GuideJun 08, 2026. Learn how to implement structured outputs in C# AI applications. Discover schema validation, strongly typed models, JSON responses, and best practices for building reliable enterprise LLM solutions.
• AI-Native Architecture Patterns Every .NET Developer Should KnowJun 08, 2026. Explore the most important AI-native architecture patterns for .NET developers, including RAG, Agentic RAG, AI agents, memory systems, workflow orchestration, and event-driven AI.
• Building Autonomous QA Testing Agents for ASP.NET Core ApplicationsJun 08, 2026. Learn how to build autonomous QA testing agents for ASP.NET Core applications using AI, Semantic Kernel, and .NET testing frameworks to automate test generation, execution, and failure analysis.
• AI Agent Observability: Monitoring, Logging, and Tracing Agent WorkflowsJun 08, 2026. Learn how to implement AI agent observability in .NET applications using monitoring, logging, tracing, OpenTelemetry, and best practices for production AI systems.
• Context Engineering for AI Applications: Beyond Prompt EngineeringJun 08, 2026. Learn how context engineering goes beyond prompt engineering by optimizing retrieval, memory, tool outputs, and information pipelines for enterprise AI applications in .NET.
• Agent-to-Agent Communication Patterns for Distributed AI SystemsJun 08, 2026. Learn the most important agent-to-agent communication patterns for distributed AI systems, including coordinator, event-driven, publish-subscribe, shared memory, and peer-to-peer architectures.
• How to Build Retrieval-Augmented Generation (RAG) Applications in .NETJun 05, 2026. Learn how to build Retrieval-Augmented Generation (RAG) applications in .NET using ASP.NET Core, embeddings, vector databases, and large language models.
• How Developers Can Start Building AI Agents Using Modern FrameworksJun 01, 2026. Discover how to build AI agents using modern frameworks like LangChain, Semantic Kernel, and CrewAI. Automate tasks & enhance applications with AI. Learn essential skills!
• Using AI Agents in .NET – Build Autonomous Workflows with C# and ASP.NET CoreMay 20, 2026. Build autonomous workflows in .NET using AI agents! Learn how to leverage C#, ASP.NET Core, Semantic Kernel, and OpenAI APIs for intelligent automation.
• How to Build AI Applications in ASP.NET Core Using OpenAI APIsMay 18, 2026. Build AI apps with ASP.NET Core & OpenAI! Learn practical examples, security, & best practices for chatbots, search, & more. Elevate your C# skills!
• Why .NET Developers Are Rapidly Adopting AI-Assisted DevelopmentMay 13, 2026. .NET developers are rapidly adopting AI-assisted development! Discover how AI tools boost productivity, automate tasks, and revolutionize software engineering workflows.
• Orchestrating Multi-Agent Systems in .NETApr 17, 2026. Master .NET multi-agent systems with Semantic Kernel! Learn orchestration patterns like concurrent, sequential, and group chat to build autonomous AI teams. #dotnetAI
• How to Use LangChain with .NET for Building AI ApplicationsApr 13, 2026. Explore how to use LangChain concepts in .NET for AI app development. Learn about Semantic Kernel, OpenAI integration, building chatbots, and RAG for powerful AI workflows.
• How to Build a Multi-Agent Workflow in C# GuideApr 09, 2026. 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!
• Microsoft Agent Framework Explained: Architecture, Workflows, and .NET Use CasesApr 06, 2026. This article explains Microsoft Agent Framework for .NET developers, including its architecture, key components, workflows, memory model, tooling, recent updates, and practical enterprise use cases. It also includes Mermaid diagrams to help visualize how agents, tools, models, sessions, and workflows work together.
• Modernizing .NET Architectures for AI-Native WorkloadsApr 04, 2026. Modernizing .NET Architectures for AI-Native Workloads
• The .NET Developer's Guide to AI ToolsApr 04, 2026. Unlock AI in .NET! This guide compares Microsoft.Extensions.AI, Semantic Kernel, and raw SDKs for GenAI integration. Choose the right tool for your C# project and build smarter apps.
• Agentic AI vs Copilot: A Practical Guide for .NET TeamsMar 29, 2026. Unlock .NET productivity! This guide compares Agentic AI & Copilot, showing how to use them together for coding, automation, and streamlined workflows. Learn best practices!
• Build an Agentic AI System in .NET 8 Using OpenAI and C#Feb 13, 2026. Build an autonomous AI agent in .NET 8! This tutorial covers creating a self-healing order reconciliation system using Semantic Kernel, Web API, and SQL Server.
• When a Prompt Is Not Enough: Building Smarter AI with Microsoft Agent FrameworkJan 03, 2026. Explore Microsoft's Agent Framework: when to use LLMs, AI Agents, or Workflows for optimal AI solutions. Build smarter, scalable, and maintainable AI systems.
• Which AI Agent Frameworks to Choose for Your First AI AgentDec 14, 2025. Confused about which AI agent framework to choose in 2025? This in-depth guide compares LangChain, AutoGen, Semantic Kernel, CrewAI, OpenAI Agents, and more to help you build your first AI agent the right way.
• Which AI agent framework is best for beginnersDec 08, 2025. Discover the best AI agent frameworks for beginners in 2025 with a clear, practical guide comparing LangGraph, CrewAI, Dify AI, Semantic Kernel, Amazon Bedrock, and more. Learn which framework is easiest to start with, which one scales to production, and which tools fit your background in Python, Microsoft, AWS, or no code platforms. Perfect for founders, developers, students, and teams exploring AI agents for automation, copilots, workflows, and intelligent applications.
• Which AI Agent Framework Should I UseDec 07, 2025. A complete guide to choosing the best AI agent framework for your project. Learn the differences between LangChain, LangGraph, AutoGen, Semantic Kernel, and CrewAI, and discover which one fits your use case, technical requirements, and scalability goals.
• What is a Support Vector Machine (SVM)?Sep 17, 2025. Explore Support Vector Machines (SVM), a powerful supervised learning algorithm for classification and regression. Learn how SVM works, including hyperplanes, support vectors, and margins. Discover different SVM types like linear and non-linear, and understand kernel functions (Linear, Polynomial, RBF, Sigmoid).
• Harnessing the Power of Function Calling with Local LLMs using OllamaAug 25, 2024. Function calling with Local LLM (Ollama) using C# Semantic Kernel.
• Tip To Improve The Response Time From LLM - OpenAI & Azure OpenAIJul 02, 2024. Explore the power of Semantic Kernel, enabling integration of large language models like AzureOpenAI and OpenAI into your applications. Leverage streaming responses for real-time interaction, reduced latency, and efficient resource usage.
• Exploring Linux: Unlocking the Secrets of the Open-Source May 21, 2024. Unraveling the Mysteries of Linux: This guide delves into the enigmatic world of Linux, an open-source operating system renowned for its customization, security, and performance. Explore the Linux kernel, distributions like Ubuntu and Fedora, and discover the power of its command-line interface.
• Multithreading in C#: Processes, Threads, and Performance OptimizationFeb 07, 2024. In this article, we will learn to Explore how threads are managed, synchronized, and executed at the kernel level, shedding light on the core mechanisms of concurrency and parallelism.
• Architecture And Services Provided By The Operating SystemMar 14, 2022. Kernel, command processor, shell and graphical user interface (GUI) are the main components of OS. Kernel: Kernel is known as the control module of an OS. The main working of kernel in the OS is that, to decide which part loads first in the processor and which remains in the main memory. In simple words, kernel decides which process should be allocated to the processor to execute first and which process to be kept in the main memory to be executed next. All this is happens, because kernel is present in the memory due to which the size of kernel is small as much as possible. Kernel is responsible for providing all the essential services which are required by other parts of the operating system and user applications.
• What Windows Runtime Can Teach .NET DevelopersMar 06, 2016. In this article you will learn what Windows Runtime can teach .NET developers.
• C# and APIAug 08, 2001. API (Application Programming Interface) is a set of commands, which interfaces the programs with the processors.