How AI Stores and Retrieves Knowledge This article examines the fundamental mechanisms of knowledge storage and retrieval within artificial intelligence systems, specifically focusing on the operational constraints imposed by the context window. The discussion categorises various methods for data management, including retrieval-augmented generation, the definition of memory as natural language summaries, and the organisation of task-oriented skills. AI Data Architecture Large Language Models