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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
533 articles Updated Page 2 of 22
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
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RAG explained in C#
medium.com Issue #504
Retrieval-Augmented Generation (RAG) combines a large language model (LLM) with search over your own knowledge base. Instead of only…
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Building Your First Agentic AI Application in .NET 10 Step by Step
c-sharpcorner.com Issue #503
Build your first Agentic AI app in .NET 10! Learn to create intelligent agents that plan, use tools, and act autonomously. Step-by-step guide.
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Building an AI Agent Marketplace with ASP.NET Core and Semantic Kernel
c-sharpcorner.com Issue #503
Build an AI Agent Marketplace with ASP.NET Core & Semantic Kernel. Discover, manage, and monetize AI agents efficiently for your organization.
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Semantic Kernel Plugins Explained: Extending AI Applications with .NET
c-sharpcorner.com Issue #503
Unlock AI potential with Semantic Kernel Plugins! Extend .NET apps to interact with databases, APIs, and real-world systems for powerful AI agents.
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Building AI-Powered Applications with OpenAI Responses API and .NET
c-sharpcorner.com Issue #503
Learn to build AI-powered .NET apps using OpenAI's Responses API. Integrate AI for chatbots, content generation, and more with practical examples.
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Building AI-Powered Background Workers and Scheduled Agents with .NET Aspire
c-sharpcorner.com Issue #503
Build intelligent AI background workers & scheduled agents with .NET Aspire for reliable, cloud-native distributed applications.
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Building Voice Agents with Real-Time Streaming and ASP.NET Core
c-sharpcorner.com Issue #502
Build real-time voice agents with ASP.NET Core and SignalR. Learn architecture, streaming, AI integration, and best practices for responsive conversational apps.
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Full-Stack AI Applications with Next.js, ASP.NET Core, and OpenAI
c-sharpcorner.com Issue #502
Build full-stack AI apps with Next.js, ASP.NET Core, and OpenAI. Learn architecture, integration, and best practices for scalable, secure AI solutions.
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How to build long-running MCP tools on Azure Functions
devblogs.microsoft.com Issue #502
Recently, a customer building servers with the Azure Functions Model Context Protocol (MCP) extension reached out and asked: How do I handle tools that take longer than the client is willing to wait? ...
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Building Production-Ready RAG Applications with Azure AI Search and .NET
c-sharpcorner.com Issue #502
Build production-ready RAG apps with Azure AI Search & .NET. Enhance LLMs with your data for accurate, context-aware responses.
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From developer art to good looking apps - an AI design skill for .NET MAUI
mallibone.com Issue #501
I have a confession to make. Hand me a design and I will happily implement it in .NET MAUI. But ask me to come up with the design myself and things get dicey rather quickly. Since this post is part of...
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How to Build Local-First AI Applications Using ONNX Runtime and .NET
c-sharpcorner.com Issue #501
Build private, fast, offline AI apps with ONNX Runtime & .NET. Run models locally for enhanced privacy, reduced latency, and lower costs.
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Implementing AI Cost Optimization and Token Management Strategies in .NET Applications
c-sharpcorner.com Issue #501
Master AI cost optimization in .NET. Learn token management, prompt engineering, caching, and model selection for sustainable AI.
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How to Build an AI Coding Assistant with ASP.NET Core and Local LLMs
c-sharpcorner.com Issue #501
Build an AI coding assistant with ASP.NET Core and local LLMs for enhanced privacy, security, and cost control in your development workflow.
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The Story of My OpenAI .NET Contribution
medium.com Issue #501
There is a particular kind of silence that surrounds you when you open a large codebase for the first time. Continue reading on Level Up Coding »
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Building Multi-Tenant AI SaaS Applications with ASP.NET Core and Azure OpenAI
c-sharpcorner.com Issue #501
Build scalable AI SaaS with ASP.NET Core & Azure OpenAI. Master multi-tenancy for secure, cost-effective, isolated AI services.
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Building Search Applications with Qdrant Vector Database and .NET
c-sharpcorner.com Issue #501
Build intelligent search apps with Qdrant vector database and .NET. Learn semantic search, RAG, and AI-powered retrieval for faster, relevant results.
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Building Event-Driven AI Agents with Azure Service Bus and .NET
c-sharpcorner.com Issue #500
Build scalable, event-driven AI agents with Azure Service Bus and .NET. Automate workflows, process asynchronously, and enhance enterprise AI.
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Building AI Workflows with Semantic Kernel Process Framework in .NET
c-sharpcorner.com Issue #500
Build structured AI workflows in .NET with Semantic Kernel's Process Framework. Orchestrate AI, logic, tools, and human interaction for complex applications.
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Implementing Long-Term Memory for AI Agents with Semantic Kernel and PostgreSQL
c-sharpcorner.com Issue #500
Unlock AI's potential with long-term memory using Semantic Kernel & PostgreSQL. Build context-aware, personalized agents.
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Building Production-Ready RAG Pipelines with Azure AI Search and .NET
c-sharpcorner.com Issue #500
Build production-ready RAG pipelines with Azure AI Search and .NET for accurate, context-aware AI responses using your own data.
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Hosting AI Agents with Microsoft Agent Framework in .NET Ep - 14, Part 2
c-sharpcorner.com Issue #499
Learn how to host AI agents using Microsoft Agent Framework in .NET. This session explains agent hosting architecture, dependency injection, service registration, runtime configuration, deployment str...
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The Verification Layer Every AI Agent Needs (and How I Built One Twice)
topuzas.medium.com Issue #499
Introduction: The Day I Stopped Trusting My Own Agent
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Building Your First MCP Server in C#: A 2026 Field Guide
medium.com Issue #498
If you’ve touched an AI coding tool in the last year, you’ve probably run into the Model Context Protocol (MCP) even if nobody called it…
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How to guide agents during production investigations with .NET CLI
csharpdigest.net Issue #498
AI agents can drive .NET diagnostic tools the same way a senior developer would