Fact Grounded Attention (FGA) is a novel architecture that injects verifiable knowledge into the attention mechanism of large language models, eliminating hallucinations and achieving 99.7% accuracy on technical queries. FGA updates knowledge in under one second without retraining, replacing probabilistic approximation with deterministic precision.