Add OpenClaw Skills: graph_query, compare_pipelines, extract_entities, benchmark, cost_estimate, explore_graph"

f8eab37 verified 12 days ago

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graph_query

Query the TigerGraph knowledge graph using natural language. Performs dual-level keyword extraction, entity vector search, and multi-hop graph traversal to find relevant entities, relationships, and evidence passages.

Parameters

query (string, required): Natural language question to search the knowledge graph
depth (integer, optional, default=2): Number of hops for graph traversal (1-4)
top_k (integer, optional, default=5): Number of seed entities to retrieve

Returns

JSON object with:

entities: List of entities found with names, types, and descriptions
relations: List of relationships traversed with source, target, and type
passages: Relevant text chunks connected to discovered entities
reasoning_path: Step-by-step explanation of the graph traversal

Example

graph_query "Were Scott Derrickson and Ed Wood of the same nationality?" --depth 2

Notes

Requires TigerGraph connection (set TG_HOST, TG_PASSWORD env vars)
Falls back to in-memory entity extraction if TigerGraph unavailable
Uses the configured LLM provider for keyword extraction