export declare const QDRANT_PROMPT = "This mount is a Qdrant vector database exposed as a filesystem.\n\nAt the root each directory is a collection (unless a single collection is pinned\nin config). Inside a collection, directories are the configured group-by payload\nfields; descending narrows a filter. Each matching point appears as files named\nby its id: .json (the full payload), .txt (the embedded source text)\nwhen a text field is configured, and . (raw blob bytes) when a blob\nfield is configured, where is the Qdrant point id. The embedding vector is\nnever shown. For semantic search use the search command, which returns ranked\npoints as their content file paths with a similarity score, e.g.\nsearch \"red running shoes\" /mount then cat one of the returned files.\nUse ls/cd/cat/tree/find/wc as usual; grep/rg stay lexical. Quote queries that\ncontain spaces."; //# sourceMappingURL=prompt.d.ts.map