How RAG‑Powered AI Boosted Government Data Labeling Efficiency by 5×
This case study details how a government‑focused AI system using retrieval‑augmented generation (RAG) and advanced preprocessing algorithms increased data labeling speed by up to five times, raised accuracy above 95%, and produced high‑quality enterprise, spatial, and economic datasets.