AI systems can consume vast amounts of energy and water, but reliable emissions data remains hard to find and harder to trust. In this challenge, you’ll build a retrieval-augmented generation (RAG) system that extracts credible environmental impact estimates from academic articles and reports. Your model must output concise, citation-backed answers—or explicitly indicate when the evidence is missing. The goal: turn scattered academic knowledge into transparent, actionable insights for researchers, engineers, and policy makers.