Learn how to build a RAG chatbot in C# using Semantic Kernel. Step-by-step tutorial with embeddings, vector search & code. Start building today! Building a RAG chatbot in C# is one of the most in-demand AI skills for .NET developers in 2026 — and for good reason. Retrieval-Augmented Generation (RAG) lets you build an AI chatbot that answers questions using your own documents — internal wikis, PDFs, product manuals, support tickets — instead of relying on whatever the model memorized during training. In this tutorial, you'll build a complete RAG chatbot using C# and Microsoft's Semantic Kernel , the official .NET SDK for orchestrating large language models. We'll cover embeddings, vector search, chunking, prompt grounding, and the pitfalls that trip up most first-time builders. By the end, you'll have a working console chatbot that ingests documents, retrieves the most relevant passages for each question, and generates grounded, citation-friendly answers — al...
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