LLMs Cannot Reason Over Personal or Organizational Knowledge Bases
LLMs lack integration with personal files, CSVs, PDFs, and internal documentation, requiring users to manually inject context on every session. This breaks workflows where institutional knowledge should drive AI-assisted decisions. A local-first KB-plus-LLM system that persists and indexes personal knowledge fills a widely felt gap.
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.