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From Tags to LLM Wiki - Knowledge Management Evolution
From Tags to LLM Wiki: Knowledge Management Evolution
This article traces the evolution of knowledge management tools from flat tags and folders through bidirectional links, spatial whiteboards, and vector search to the emerging paradigm of LLM-generated wikis with semantic graphs. The author argues that most existing systems implicitly enforce a Single Source of Truth, which flattens valuable disagreement and contextual nuance into averaged conclusions. Drawing from experience building AILogora and Cairn, the piece proposes that the next challenge is designing systems that preserve multiple contextual truths and the evidentiary relationships between them.
Key Takeaways
- Flat classification and bidirectional links break down at scale, producing either rigid hierarchies or unreadable hairball graphs that obscure importance.
- Vector and hybrid search improve semantic retrieval but still deliver isolated snippets rather than a navigable, contextual knowledge map.
- LLM-curated wikis produce meaningfully structured knowledge graphs with hierarchical and evidentiary relationships, making them more readable than similarity or link graphs.
- Single Source of Truth is ill-suited to experiential and contested knowledge; alternatives like 'Single Source of Change' and epistemological pluralism better reflect how knowledge actually works.
- Existing multi-perspective models such as Discourse Graphs and Polis are either academically niche or opinion-centric, leaving a gap for structured, multi-perspective knowledge tools.
- Cairn is positioned not as another AI wiki or personal memory layer, but as a system that lets multiple contextual truths coexist while preserving their relationships.
Related Concepts
Related Entities
Related: overview.