{"article":{"annotation":{"article_id":"agentcore-self-improving-document-processing-idp-2026","available_at":"2026-10-15T20:48:42.871893Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"17263f0087bd19743775533627a6a5535e0d7724a53e998548fdb538450039e2","input_sha256":"cff0991739eb7835a2694e1f0448f95740b09ea8ed24cedd299a06827160aca4","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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An analyzer extracts text and identifies document type, a matching agent finds similar records, and extraction and validation agents compare data with business rules.","The architecture uses Textract, S3 Vectors, Aurora DSQL and AgentCore components. Instructions created for new formats can be reused on similar documents. AWS presents this as an implementation guide and publishes no independent accuracy measure for each document type."],"sections":[]},"corrections":[],"country":null,"data":{"blocks":[{"description":{"ar":"نشرت AWS في 14 أكتوبر دليلاً تقنياً لمعالجة الوثائق المتعلمة باستخدام AgentCore.","de":"AWS veröffentlichte am 14. 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