A normal search engine looks in one place. Magpie takes one question and fans it across everything that matters at once — the AI's entire conversation history, the files on the machine, a structured knowledge graph, a vector store, and the live web — and pulls the answer back from wherever it actually lives. Five sources, one call. it searches each one the right way. It can grep for an exact string or regex when you know the precise token — a file path, an error, a line of code. It can search by keyword. It can search by meaning, so it finds the thing even when the words don't match. It can do all of that at once. better then RAG and reduces llm token cost! get magpie-search on GitHub or https://vektorgeist.com