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# OpenWiki

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  1. langchain.com

    Agents stop re-deriving cross-document answers: a compiled wiki lifts accuracy from 0.10 to 0.52, and an evidence graph adds 27%

    A memory layer for agents doing cross-document reasoning now has a controlled comparison: on 111 synthetic insurance documents, an agent using the OpenWiki-compiled wiki reached 0.52 accuracy on 50 questions requiring connections across sources, against 0.10 with keyword search alone; adding an evidence graph built from citations and document references raised accuracy a further 27%, doubled citation consistency and cut cost per correct answer by 58%. On simple lookups the two conditions were about equal, so the wiki brought no advantage there.

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