Beyond RAG: The Case for LLM-Maintained Knowledge Wikis

Traditional RAG systems force LLMs to rediscover knowledge from scratch with every query, missing the opportunity for knowledge compounding. The LLM Wiki approach shifts AI's role from retriever to active maintainer of a persistent, structured knowledge base where insights build over time. This matters because it solves the real bottleneck in knowledge management—not thinking, but bookkeeping—which LLMs are perfectly suited to automate.