Build a RAG Pipeline in C# — From Zero to Hybrid Search
· 7 min read
Retrieval-Augmented Generation (RAG) is how you make an LLM answer questions about your data without paying to fine-tune it. You take a question, find the most relevant chunks of your documents, and stuff them into the prompt as context.
This post walks through building a production-grade RAG pipeline in C# — from a flat file on disk to a working Ask my docs system with hybrid retrieval that beats simple semantic search on real-world queries.