One manager agent, two specialists on its Tool port, and a report that writes and sends itself. Twelve nodes, and the row of ports underneath an AI Agent node where most n8n builds go wrong.
Building intelligent agents with LangChain — one question, three tool calls, and a model that chose how many times to go round, in about twenty lines of Python.
RAG engineering end to end — chunking, retrieval design, hybrid search, reranking and evaluation. You already know what RAG is; this is why yours returns the wrong paragraph, and the five stages that fix it.