GroundDocs

Primary Python documentation lookup tool. Use this for every Python documentation-related query. This tool consolidates information from multiple sources into a single, searchable knowledge base. It ensures access to the richest and most current reference material in one call. Args: query: A natural language question (e.g., "How do I define a Deployment?"). library: Python library to search documentation for. version: Optional Library version (e.g., "4.46.1"). Defaults to detected library version if not specified. top_k: Optional number of top matching documents to return. Defaults to 10. Returns: A list of dictionaries, each containing document path and corresponding content. Example Usage: # Search Python docs for Transformers python_get_documentation(query="what is a transformers mlm token", library="transformers", version="4.46.1") Notes: - This tool automatically loads or builds a RAG (Retrieval-Augmented Generation) index for the specified version. - If an index is not found locally, the tool will fetch and index the documentation before responding. - You should call this function for any question that needs project documentation context.

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "library": { "description": "Python library to search documentation for.", "type": "string" }, "query": { "description": "A natural language question (e.g., \"How do I use transformers?\").", "type": "string" }, "top_k": { "default": 10, "description": "Optional number of top matching documents to return. Defaults to 10.", "type": "number" }, "version": { "description": "Optional Library version (e.g., \"4.46.1\"). Defaults to detected library version if not specified.", "type": "string" } }, "required": [ "query", "library" ], "type": "object" }