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GraphRAG

Natural-language question answering over the full LeadSponsor sponsorship graph, powered by Claude.

ask_graph​

Ask any question about the sports sponsorship graph in plain language. The tool runs a full RAG pipeline: entity extraction → graph query → LLM answer synthesis with cited sources.

Timing

Expect 5–30 seconds depending on query complexity.

Parameters​

NameTypeRequiredDescription
questionstringYesNatural language question about the sponsorship graph

Returns​

{
  "answer": "Rolex sponsors golf (Masters Tournament, The Open Championship, Wimbledon...), motorsport (Formula 1, 24h Le Mans), and tennis (ATP Tour, Roland-Garros). The brand focuses on premium endurance and prestige sports.",
  "sources": [
    {"entity_id": "brand_rolex", "entity_name": "Rolex", "article_url": "https://..."},
    {"entity_id": "rh_roland_garros", "entity_name": "Roland-Garros", "article_url": null}
  ]
}

Example prompts​

"Which sports does Rolex sponsor?" "Who are the decision-makers at Nike France?" "What brands have sponsored the Paris Olympics?" "Which athletes have the most brand partnerships in tennis?" "Find brands that sponsor both football clubs and music festivals"

Notes​

  • Rate-limited to 30 requests/minute per workspace.
  • The knowledge base reflects the LeadSponsor graph — recent articles + graph entity data.
  • For factual lookups on specific entities, search_entities + get_entity is faster.
  • For workspace-specific insights, get_recommendations or get_workspace_recap is more relevant.