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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
665 articles Updated Page 7 of 27
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
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524: A .NET MAUI AI Revolution
Merge Conflict Issue #506
On episode 524 James and Frank dive into the new .NET MAUI developer stack—covering the MAUI CLI/Maui Doctor that auto-provisions SDKs and emulators, the Maui Sherpa GUI for device/Xcode/provisioning ...
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Building Semantic Search Applications with PostgreSQL pgvector and ASP.NET Core
C# Corner Issue #505
Build intelligent search apps with PostgreSQL pgvector & ASP.NET Core. Understand meaning, not just keywords, for better user experiences.
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Building an AI Coding Assistant in ASP.NET Core Using MCP Servers
C# Corner Issue #505
Build an AI coding assistant in ASP.NET Core using MCP servers to access project files, APIs, and tools for enhanced development workflows.
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Microsoft Agent Framework for .NET (part 2): How to use IChatClient with Azure Foundry and Ollama in .NET
Code4IT Issue #505
IChatClient is the core of Microsoft Agent Framework. Let’s see how to configure it with Azure Foundry and Ollama.
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Azure AI Projects SDK for .NET: Building and Publishing AI Agents
C# Corner Issue #505
Build and deploy powerful AI agents with the Azure AI Projects SDK for .NET. Streamline development, integrate services, and create intelligent applications.
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Building Real-Time AI Chat Applications with WebRTC and ASP.NET Core
C# Corner Issue #504
Build real-time AI chat apps with WebRTC & ASP.NET Core. Learn architecture, signaling, SignalR, AI integration, and voice support.
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Building an AI-Powered Knowledge Base Using Vector Databases and C#
C# Corner Issue #504
Build AI-powered knowledge bases with C# & vector databases for semantic search, understanding user intent & delivering accurate, context-aware answers.
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RAG explained in C#
Medium 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# Corner 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# Corner 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# Corner 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# Corner 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# Corner 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# Corner 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# Corner 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
Microsoft Dev Blogs 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# Corner 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
Mark's Blog 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# Corner 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# Corner 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# Corner 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 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# Corner 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# Corner 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# Corner Issue #500
Build scalable, event-driven AI agents with Azure Service Bus and .NET. Automate workflows, process asynchronously, and enhance enterprise AI.