ai
OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
621 articles Updated Page 5 of 25
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
Page 5 of 25
Newest first
-
Build AI Agents with .NET 10 and Semantic Kernel
C# Corner Issue #508
Build AI agents with .NET 10 and Semantic Kernel. Learn production practices for reliable, scalable AI applications.
-
Building RAG Applications in C# with Semantic Kernel and Azure AI Search
C# Corner Issue #508
Build C# RAG apps with Semantic Kernel & Azure AI Search. Ground LLMs in your data for accurate, context-aware responses.
-
Building AI Chat Applications with ASP.NET Core and Server-Sent Events
C# Corner Issue #507
Build real-time AI chat apps with ASP.NET Core and Server-Sent Events (SSE). Stream AI responses for a faster, interactive user experience.
-
Move Agent Orchestration/Workflows out of Code with Agent Framework Declarative Workflows 1.0
Microsoft Dev Blogs Issue #507
Most multi-agent apps wire every flow in application code: the sequence of steps, branching, and handoffs between agents all live inside the program, making the orchestration harder to review, version...
-
I built a Production-Ready Agentic Finance Tracking App. It’s Simpler Than You Think.
Medium Issue #507
“Agentic loop”, “autonomous app” — these buzzwords sound really intimidating when you first hear it.
-
Secure AI Applications in ASP.NET Core: Preventing Prompt Injection and Data Leakage
C# Corner Issue #506
Secure ASP.NET Core AI apps against prompt injection & data leakage. Learn best practices for LLM security, RAG, and tool access.
-
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 ...
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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…
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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? ...
-
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.
-
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...
-
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.