CSharp-Coder

Learn how to build a RAG chatbot in C# with Semantic Kernel. Step-by-step tutorial with runnable code for chatting with your own documents. Start now! Large language models are impressive, but they know nothing about your data: your internal wiki, your PDF manuals, your support tickets. Retrieval-Augmented Generation (RAG) fixes that. In this tutorial you will build a RAG chatbot in C# with Microsoft's Semantic Kernel that ingests your own documents, stores them as vector embeddings, retrieves the most relevant chunks for each question, and answers with citations. Every example is runnable .NET 8/9 code, and along the way we explain why each design choice matters, not just how to wire it up. What Is a RAG Chatbot and Why Build One in C#? RAG is a simple idea with a big payoff. Instead of fine-tuning a model on your documents (expensive, slow, and stale the moment your docs change), you keep the model as-is and retrieve relevant text at query time, then hand that text to ...