The United Nations places community protection at the core of its humanitarian mission, requiring resource deployment in volatile, high-risk areas. We present a tool leveraging up-to-date conflict and political event data to generate comprehensive country reports. The automated pipeline includes data ingestion, Knowledge Graph construction, GraphRAG-based report generation, self-evaluation using large language models. To address traditional RAG limitations in processing complex geopolitical queries, we adopt GraphRAG, integrating knowledge graph structures into retrieval processes. This improves precision by leveraging entity and relationship awareness, enabling accurate, explainable analyses. GraphRAG enhances synthesis from diverse sources — conflict data, humanitarian reporting, socio-political indicators — resulting in actionable assessments.
