OCHA RAG is a new retrieval-augmented system designed to help humanitarian teams work with large volumes of crisis information more effectively. Reports, assessments, sitreps, government alerts, and media updates often arrive in different formats and languages, making it challenging to maintain a clear picture of needs and risks. OCHA RAG brings this material together and makes it easier to search, understand, and use.

The system combines structured metadata, multilingual embeddings, and evidence-based guardrails to produce clearer, more reliable insights. It extracts key details such as sectors, population groups, locations, and early warnings, while preserving links back to the original documents. This allows analysts to work faster while keeping full transparency on sources and assumptions.