Articles by Aarav Patel

Build AI-powered SQL assistants with Semantic Kernel and .NET to unlock data insights. Empower users with natural language queries and secure data access.

Build internal AI copilots for engineering teams using ASP.NET Core, Semantic Kernel, Azure OpenAI, and Azure AI Search for enhanced productivity.

Build secure, private Enterprise ChatGPT solutions with .NET, Azure OpenAI, Semantic Kernel, and Azure AI Search for internal knowledge access.

Compare Prompt Engineering, RAG, and Fine-Tuning for AI. Choose the right strategy for .NET apps, balancing cost, accuracy, and complexity.

Build AI-powered data analysts with Semantic Kernel and .NET. Understand natural language, query data, and generate actionable business insights.

Build intelligent, context-aware enterprise search with ASP.NET Core, vector databases, and AI for enhanced productivity and knowledge discovery.

Assess legacy .NET apps for AI readiness. A framework covers data, architecture, infra, security, and operations for successful integration.

Build internal AI developer tools with ASP.NET Core & Blazor. Enhance productivity, access secure company knowledge, and streamline workflows.

Explore advanced AI retrieval pipelines beyond RAG: multi-stage, hybrid search, query transformation, knowledge graphs, and agentic workflows.

WSL Containers offer Windows developers a faster, more efficient alternative to Docker Desktop for running Linux containers locally.

Windows Coreutils brings Linux commands like ls, cat, and grep natively to Windows, boosting developer productivity and cross-platform consistency.

Unlock efficient code discovery in .NET enterprise apps with semantic search. Understand intent, not just keywords, for faster development.

Build AI-native APIs with ASP.NET Core. Leverage natural language, intent processing, and semantic search for intelligent applications.

Build AI-ready websites for the Agentic Web with NLWeb. Enable natural language interactions for AI agents and humans.

Build local AI apps with .NET & Phi models! Learn step-by-step integration for privacy, speed, and cost savings. Unlock AI power locally.

Explore C# 15's new features: enhanced collections, pattern matching, primary constructors, and more for cleaner, productive development.

Unlock superior search relevance with Azure AI Search's semantic reranking. Understand intent, context, and meaning for better results.

Unlock AI app development with .NET Aspire 10. Explore new features for orchestration, observability, and cloud-native deployment.

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.

Learn how to build custom MCP servers in C# for enterprise AI applications. Discover MCP architecture, security best practices, tool development, authentication, and real-world integration patterns.

Learn how to secure Model Context Protocol (MCP) applications by preventing prompt injection, tool hijacking, unauthorized access, and other AI security threats using proven enterprise security practices.

Learn how to build production-ready multi-agent systems with Microsoft Agent Framework 1.0. Explore architecture patterns, agent orchestration, tools, memory, and enterprise best practices.

Learn how to implement Rate Limiting in ASP.NET Core applications using built-in middleware. Explore Fixed Window, Sliding Window, and Token Bucket strategies.

Learn Entity Framework Core Interceptors with real-world examples. Implement auditing, soft deletes, SQL logging, and performance monitoring in EF Core applications.