LLM Wiki Emerges as Simpler Alternative to GraphRAG for Growing Knowledge Bases

A developer on DEV Community compares GraphRAG and LLM Wiki approaches for building LLM-based knowledge bases that keep growing. Both use an LLM to distill raw data, but GraphRAG structures knowledge as entities, relations, and communities, while LLM Wiki organizes it into directories, index pages, and linked documents. The author notes that both share problems such as inaccurate summaries, stale information, lost sources, and difficulty of evaluation. The piece traces the progression from vector RAG in 2023 through GraphRAG, LightRAG, LazyGraphRAG, and the 2026 Relink paper. The author concludes that an LLM Wiki is the better starting point for those building a small knowledge base.