LEANN claims a local RAG stack that cuts vector index storage by up to 97 percent by recomputing embeddings on demand instead of storing all of them. The part worth reading closely is the privacy boundary around email, browser history, chat exports, MCP live data, and cloud-compatible model endpoints, because the README itself mixes local-only promises with optional providers and credentials.