Guide to Building a RAG Pipeline in C# with ASP.NET Core, Qdrant and Ollama

This DEV Community tutorial walks developers through building retrieval-augmented generation in C# using ASP.NET Core, the Qdrant vector database, and a local model served through Ollama. The pipeline splits documents into page- and heading-based chunks, embeds them, and stores them in Qdrant with access metadata. At answer time, it retrieves relevant passages, applies access filters, and streams responses that cite their sources. The author reports results from a 59-question evaluation on a small fictional support knowledge base, with full code available on GitHub under the MIT license. The article cautions that these figures reflect a small, clean corpus and should be measured against each reader's own documents.