The Army’s use of AI, including Large Language Models (LLMs), offers significant potential but faces challenges like hallucinations—factually unsupported outputs that undermine reliability. RAG-Verification (RAG-V) addresses this by automatically fact-checking and correcting LLM-generated claims in real-time, reducing hallucination rates from ~10% to 0.1%, making AI systems dependable for mission-critical applications.