RAG in .NET: answer questions from your own documents with an LLM
Retrieval-augmented generation explained for backend developers, chunking, retrieval and grounded answers with citations, plus a runnable C# example you can extend.
Retrieval-augmented generation explained for backend developers, chunking, retrieval and grounded answers with citations, plus a runnable C# example you can extend.
A practical order for learning AI engineering as a backend developer, LLM APIs, RAG, MCP, agents and evals, with what to build at each step.