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C# & AI Masterclass: Intelligent Data Access with EF Core. Vector Databases, RAG, and Memory Storage.

Transform your data layer into an intelligent brain using EF Core and C#. Bridge the gap between traditional SQL and Vector Databases to power RAG and semantic search. Master secure, multi-tenant architectures that provide your AI applications with memory and context. Stop building prototypes and start architecting production-ready intelligent systems today.

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About

About the Book

Transform Your Data Layer into the Brain of Your AI Application

The era of "dumb" databases is over. In the age of Generative AI, your application's data access layer must do more than just CRUD operations—it must understand meaning, manage context, and fuel intelligent decisions. Volume 6 of the C# & AI Masterclass is the definitive guide for .NET developers who need to bridge the gap between traditional Entity Framework Core architectures and the cutting-edge world of Vector Databases and Retrieval-Augmented Generation (RAG).

Unlock the Power of Intelligent Data Access

This book moves beyond simple tutorials. It dives deep into the architectural patterns required to build enterprise-grade AI systems. You will learn how to hybridize your SQL databases with vector search capabilities, ensuring your AI applications are not only smart but also scalable, secure, and transactional.

What's Inside:

  • Vector Integration in EF Core: Learn to store, index, and query high-dimensional embeddings using PostgreSQL (pgvector) and SQL Server 2022 without leaving the comfort of C#.
  • Building RAG Pipelines: Architect robust retrieval systems that combine the precision of SQL keywords with the semantic understanding of vector search (Hybrid Search).
  • AI Memory Management: Design schemas for chat history that allow LLMs to "remember" past interactions while enforcing permissions and context limits.
  • Advanced Concurrency & Transactions: Solve the "split-brain" problem of syncing relational data with vector stores using Unit of Work patterns and Compensating Transactions.
  • SaaS Multi-Tenancy: Implement strict data isolation for AI models in multi-tenant environments using Row-Level Security (RLS) and dynamic DbContexts.
  • Auditing & Observability: Use EF Core Interceptors to create an immutable audit trail of every prompt and context retrieved by your AI.

Whether you are building a semantic search engine, an intelligent chatbot, or an automated document analysis system, this book provides the blueprint for your data infrastructure.

Stop building prototypes. Start architecting intelligent systems with C# and EF Core today.

Check also the other books in this series

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Author

About the Author

Edgar Milvus

A veteran software engineer with 20 years of experience, I have dedicated my career to the art of automation. My philosophy is simple: programming should eliminate repetitive chores to unlock human creativity. This journey began early on with the development of custom code-generation tools and has evolved into a deep mastery of LLMs and their APIs. Today, I specialize in architecting AI-driven solutions that handle everything from complex coding and security tasks to advanced knowledge retrieval, transforming the way we interact with technology

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