Knowledge graph
Persist the research structure — questions, claims, evidence, sources and their relations — so multi-step research stays coherent.
When to use
- A research task with many claims and sources that must not turn into a list.
- Handing off a research state to be reused or audited.
- Warming a
deep-researchobjective with existing structured findings.
Tools used
research_graph— retrieve the node/edge graph of a research task.research_status— current state of a research task.
Workflow
- As evidence is extracted, keep claim → evidence → source → location tuples.
research_graphto persist/retrieve the structured relations (Q/C/E/S).research_statusto keep track of progress on long tasks.- Walk the graph for gaps (claims without evidence) before finalizing.
Input schema
{ "task_id": "str" }
Output schema
{ "task_id": "str", "nodes": "list[object]", "edges": "list[object]" }
Security
The graph stores claims and sources; it stores no record of who/what was verified. Keep it task-scoped; never fold private or sensitive material into a shared graph.
Related skills
evidence-extraction, deep-research, claim-verification,
literature-review, document-research