Operationalizing AI in Government with RAG Infrastructure

This white paper discusses the operationalization of artificial intelligence (AI) in government through the implementation of retrieval-augmented generation (RAG) and trusted infrastructure. It outlines how RAG enables secure and efficient AI deployment in sensitive environments, allowing public sector agencies to transition from AI experimentation to operational use. The paper details the advantages of RAG, including its ability to provide accurate, grounded responses while keeping sensitive data secure. It emphasizes the importance of U.S.-designed systems that comply with federal standards, ensuring rapid deployment and scalability. The document presents case studies demonstrating early successes in RAG applications, such as significant reductions in research time for legal teams and enhanced efficiency in defense analysis. Additionally, it describes the infrastructure needed for RAG, including secure hardware and data management practices, and highlights the benefits of a structured approach to AI deployment that aligns with government missions.