Beyond RAG: How LLM Wiki Rewires Knowledge Architecture

RAG has become the default pattern for giving LLMs external knowledge, but it treats information as disconnected fragments that must be reconstructed at query time—a fundamentally inefficient approach for handling complex domains. LLM Wiki proposes a radical shift: synthesizing knowledge at ingest time to build structured, navigable understanding that persists across queries. This architectural rethinking has profound implications for cost, speed, quality, and how organizations maintain knowledge systems for AI applications.