Master Generative AI with C# 14 and .NET 10: A Practical Guide to Integrating Large Language Models and Vector Search into the .NET 10 Ecosystem Kindle Edition

Build real, production-ready Generative AI systems using C# and .NET 10, without hype, shortcuts, or toy examples.What This Book Allows You to DoThis book empowers you to design, build, and deploy enterprise-grade Generative AI solutions using modern .NET. You’ll move beyond basic prompts and learn how to engineer scalable, secure, and maintainable AI systems that integrate seamlessly into real-world applications.Whether you’re enhancing existing .NET systems or creating AI-first platforms, this guide shows you how to do it the right way, with performance, reliability, and architecture in mind.About the TechnologyGenerative AI is rapidly transforming software development, but most resources focus on Python and experimentation, not production systems. This book bridges that gap by showing how C# and .NET 10 can be used to build modern AI-powered applications using LLMs, embeddings, vector search, retrieval-augmented generation (RAG), and AI agents.You’ll explore how generative AI fits into professional software architecture, including observability, scalability, API design, and secure deployment, using tools and patterns familiar to .NET developers.Book SummaryMaster Generative AI with C# and .NET 10 is a practical, engineering-focused guide for developers who want to move from AI curiosity to real implementation. It explains not just how generative AI works, but how to integrate it cleanly into production systems using modern .NET practices.Across clear explanations and hands-on examples, the book walks you through core concepts such as large language models, embeddings, vector databases, and retrieval pipelines, then shows how to combine them into complete, maintainable solutions. The focus stays firmly on clarity, structure, and real-world applicability, making it ideal for professionals who value long-term system quality over quick demos.What’s Inside This Book?Build Generative AI applications using C# and .NET 10Understand LLMs, embeddings, and vector search in practical termsImplement retrieval-augmented generation (RAG) architecturesDesign AI agents and intelligent workflowsIntegrate AI safely into enterprise and cloud environmentsApply clean architecture and scalability principles to AI systemsThis book is written for:C# and .NET developersSoftware engineers and architectsBackend and enterprise developersTechnical professionals exploring AI integrationA basic understanding of C# and .NET is recommended. No prior AI experience is required.If you’re ready to move beyond experiments and start building serious Generative AI solutions with C# and .NET 10, this book is your roadmap.Get your copy today and start engineering AI with confidence. Read more