Updated How AI Stores and Retrieves Knowledge This article analyses the fundamental mechanisms of knowledge storage and retrieval within artificial intelligence systems, specifically regarding how context window limitations dictate architectural design. The discussion explores the categorisation of external data inputs and the technical parameters of retrieval-augmented generation, natural language memory summaries, and specialised skill descriptions. AI Data Architecture Large Language Models