Results for ".NET"
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Building Your Own Enterprise AI Assistant: Architecture Patterns with RAG and Tool Calling
Architectural guide to building an enterprise AI assistant in C#/.NET. Learn how to combine RAG knowledge retrieval with Tool Calling (Function Calling).
Building an Enterprise RAG Application in C# with Google Gemini and SQL Server 2025 Vector Engine
Step-by-step architectural guide to building an enterprise Retrieval-Augmented Generation (RAG) app in C# (.NET 10) combining Google Gemini embeddings with SQL Server 2025 native Vector support.
How to Build RAG in C# with Google Gemini API and Semantic Kernel
Step-by-step architectural guide to building a Retrieval-Augmented Generation (RAG) app in C# using Google Gemini API, Semantic Kernel, and Vector Data.
Enterprise RAG Architecture in .NET 9: Hybrid Search with Semantic Kernel and PostgreSQL pgvector
Learn how to build production-grade RAG systems in .NET 9 using Azure OpenAI, Semantic Kernel, and PostgreSQL pgvector with hybrid search and zero hallucinations.
Building AI Agents in .NET with Microsoft Semantic Kernel
Go from zero to a production-ready, tool-calling AI agent in .NET using Microsoft Semantic Kernel (Agent Framework 1.0). Learn architecture, C# code, and scaling patterns.
.NET Interview Questions for 5 Years Experience with Answers
This guide covers the questions interviewers actually ask — from deep C# internals and async patterns to ASP.NET Core, Entity Framework, microservices, design patterns, and system design.
How to Create Model Context Protocol (MCP) Server in C# and Run in VS Code
Create Model Context protocol(MCP) in .NET 10 C# and the test this local MCP in Visual Studio Code
How to Use Image Into Prompts in Google Gemini AI
Learn to build a powerful ASP.NET Core REST API that integrates Google Gemini AI for intelligent image analysis and chat interactions. Complete guide with code examples
