AI Research

    GVD: Governed Versioning and Deduplication for Document Repositories

    Solving the crisis of outdated and redundant data in large-scale enterprise document repositories.

    Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versions refine or contradict earlier ones. These inconsistencies belong to the growing collection rather than to...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    GVD addresses the critical issue of information decay and redundancy in enterprise data lakes by automating the lifecycle management of evolving documents. By ensuring that AI agents retrieve only the most current and authoritative versions, it significantly reduces the risks of hallucinations and conflicting outputs.

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