Designing a Persistent Knowledge Layer That Refuses to Guess

Standard Retrieval-Augmented Generation (RAG) systems are limited because they discard all reasoning after answering a query, forcing them to start from scratch every time. This approach prevents the accumulation of understanding and can lead to inefficiencies and inconsistencies. A proposed solution is to build a persistent knowledge layer, a durable artifact where understanding can accumulate over time. This layer compiles knowledge, connects concepts, records decisions, and maintains links to source documents, creating a system that learns rather than just retrieves.