From Problems to Patterns: Generative AI in .Net: Build Next-Level Applications, Agents, and Tools with Microsoft’s Modern Ecosystem

From Problems to Patterns: Generative AI in .Net, Build Next-Level AI Applications, Agents, and Tools with Microsoft's Modern Ecosystem. Unleash the power of Generative AI in your .NET projects with this comprehensive guide-designed for AI engineers, solution architects, .NET developers, and technical leaders ready to deliver production-ready intelligent features.Master Every Critical Pattern in Modern AI Development >Learn the Practical Patterns the Pros Use-End to End >Build Full-Stack Solutions-From RAG to Vision Apps >Develop Robust AI Agents with the Microsoft Agent Framework >Implement and Deploy Standardized AI Tools with MCP >Production Practices for Real Teams >Approach in the Book: What You'll Get: * In-depth tutorials for every major feature (with full source code) * Decision guides, best practices, and architectural diagrams * Quick references, provider comparisons, and migration checklists >Hands-On: What You Will Build * A semantic product search engine using embeddings and vector similarity * A production RAG pipeline - ingestion, chunking, retrieval strategies, inline citations, and LLM-as-judge evaluation * An expense report processor that reads photos of receipts with vision AI * Autonomous agents with persistent sessions, tool approval flows, and graph-based multi-agent workflows * MCP servers packaged as NuGet tools and deployed to Azure Container Apps >From Problems to Patterns: Generative AI in .NET is your essential blueprint for building, shipping, and operating intelligent, grounded, and responsible AI features the Microsoft way-all with modern .NET.

Pagina's: 479, Paperback, Independently published