Opinion: Fully LLM-Generated Knowledge Bases Often Fall Short
xeophon · x · 2026-07-03
Developer xeophon points out that knowledge bases generated entirely by LLMs often fail to meet expectations. This is because LLMs tend to clutter everything with useless content and operate primarily on an 'additive' logic, making it difficult for them to be concise and convergent. This observation reveals a typical limitation of LLMs in automatically constructing structured knowledge.
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