According to God of Prompt, integrating temporal graphs into Retrieval-Augmented Generation (RAG) systems by adding timestamps to every node and edge allows organizations to track changes in knowledge over time. This method turns questions like 'What changed between our Q1 and Q2 strategy?' into actionable graph diff operations, enabling businesses to visualize and analyze the evolution of their organizational memory. The ability to see knowledge evolution provides significant advantages for enterprise knowledge management, compliance tracking, and strategic decision-making, making temporal graph RAG a game changer for AI-powered business intelligence (Source: @godofprompt, Twitter, Jan 9, 2026).