{"id":97188,"date":"2026-09-14T16:37:59","date_gmt":"2026-09-14T13:37:59","guid":{"rendered":"https:\/\/twodots.gr\/?p=97188"},"modified":"2026-09-14T16:38:00","modified_gmt":"2026-09-14T13:38:00","slug":"semantic-compression-trees-rag-context","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/semantic-compression-trees-rag-context\/","title":{"rendered":"Semantic Compression Trees: \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf context \u03b3\u03b9\u03b1 \u03c4\u03bf RAG, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b9\u03b2\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ce\u03c4\u03b1:<\/strong> \u03c4\u03b1 Semantic Compression Trees \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 RAG \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf context \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae \u03c0\u03c4\u03ce\u03c3\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, \u03cc\u03c4\u03b1\u03bd \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c8\u03ac\u03be\u03b5\u03b9. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ac top-down \u03c0\u03bb\u03bf\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf flat retrieval.<\/p>\n<p>\u03a3\u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2, \u03b7 extractive \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 SCT \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 Answer F1 0,274 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,277 \u03c4\u03bf\u03c5 VectorRAG, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ce\u03bd\u03c4\u03b1\u03c2 2.178 \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 3.120 context tokens. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b2\u03c1\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc paper, \u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03c4\u03bf 0,122 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,165 \u03ba\u03b1\u03b9 \u03c4\u03bf document routing \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf 20,2% \u03c4\u03c9\u03bd \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd. \u0393\u03b9\u03b1 enterprise knowledge bases, e-commerce \u03ba\u03b1\u03b9 customer support, \u03c4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2: \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ae residual \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf global routing, \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03bb\u03b7\u03c3\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#klasiko-chunking-kai-domi\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc chunking \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5<\/a><\/li>\n<li><a href=\"#semantic-residuals\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 semantic residuals<\/a><\/li>\n<li><a href=\"#kataskevi-sct\">\u03a0\u03ce\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 SCT<\/a><\/li>\n<li><a href=\"#dyo-protokolla-axiologisis\">\u0394\u03cd\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03b1 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#single-document-apotelesmata\">\u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc<\/a><\/li>\n<li><a href=\"#routing-apotygchanei\">\u0393\u03b9\u03b1\u03c4\u03af \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 routing<\/a><\/li>\n<li><a href=\"#residuals-enantion-tree\">\u03a4\u03b1 residuals \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd, \u03c4\u03bf tree retrieval \u03cc\u03c7\u03b9<\/a><\/li>\n<li><a href=\"#kostos-context-kai-metrikes\">\u039a\u03cc\u03c3\u03c4\u03bf\u03c2, context \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9<\/a><\/li>\n<li><a href=\"#oria-paragogis\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 production deployment<\/a><\/li>\n<li><a href=\"#knowledge-bases-ecommerce-support\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 knowledge bases, e-commerce \u03ba\u03b1\u03b9 support<\/a><\/li>\n<li><a href=\"#pilot-epta-vimata\">\u0388\u03bd\u03b1 pilot \u03b5\u03c0\u03c4\u03ac \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 vanity metrics<\/a><\/li>\n<li><a href=\"#teliki-apofasi\">\u0397 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7: \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc route<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"klasiko-chunking-kai-domi\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc chunking \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5<\/h2>\n<p>\u03a4\u03bf \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf RAG \u03ba\u03cc\u03b2\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b7\u03b3\u03ae \u03c3\u03b5 \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03bf\u03cd \u03bc\u03ae\u03ba\u03bf\u03c5\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af embeddings \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03b1 passages \u03bc\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ae \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03b5 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03b1\u03c1\u03c7\u03b5\u03af\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03b5\u03c6\u03ac\u03bb\u03b1\u03b9\u03bf, \u03bc\u03b9\u03b1 \u03b5\u03be\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03b4\u03b9\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c3\u03b1\u03bd \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u0397 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 &#8211; \u03c4\u03af\u03c4\u03bb\u03bf\u03c2, \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c5\u03c0\u03bf\u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03c1\u03b1\u03c6\u03bf\u03c2 &#8211; \u03c7\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c1\u03c7\u03af\u03c3\u03b5\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03ba\u03cc\u03c3\u03c4\u03b7. \u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03b1\u03c3\u03bc\u03cc\u03c2: \u03b3\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b5\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ac chunks \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03c7\u03ce\u03c1\u03bf \u03c3\u03c4\u03bf prompt. \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1 granularity: \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03b5\u03c0\u03b9\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1, \u03cc\u03c1\u03b9\u03bf \u03ae \u03b5\u03be\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 passage. \u0397 <a href=\"https:\/\/twodots.gr\/ai-mnimi-giati-anaktisi-apotygchanei-prin-xekinisei\/\">\u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 AI \u03bc\u03bd\u03ae\u03bc\u03b7\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b9 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b9\u03bc\u03bf<\/a>, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03cc\u03c3\u03bf \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf context \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<p>\u0397 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03c4\u03b1\u03c5\u03c4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0388\u03bd\u03b1 chunk \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c4\u03bf query \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf. \u03a3\u03b5 customer support \u03b1\u03c5\u03c4\u03cc \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03ba\u03bf\u03cd\u03b3\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03b1\u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03b5\u03be\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2. \u03a3\u03b5 product catalog \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03c3\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03bc\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c0\u03c1\u03bf\u03b4\u03b9\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae. \u0397 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03ae \u03c4\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf similarity score.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Flat chunks<\/p>\n<p>\u039a\u03ac\u03b8\u03b5 passage \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b1. \u0397 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b2\u03ac\u03c3\u03b9\u03bc\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03ac query \u03bc\u03b5\u03b3\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf corpus.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0386\u03bc\u03b5\u03c3\u03b7 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7<\/span><span class=\"td-badge\">\u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf scoring<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">\u03a0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2<\/p>\n<p>\u039a\u03ac\u03b8\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03c5\u03ba\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5. \u039c\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03cc\u03b3\u03ba\u03bf, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03b1\u03ba\u03c1\u03cd\u03bd\u03b5\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2, \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a5\u03c8\u03b7\u03bb\u03ae \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7<\/span><span class=\"td-badge\">\u0391\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 evidence<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Semantic residuals<\/p>\n<p>\u039a\u03ac\u03b8\u03b5 node \u03ba\u03c1\u03b1\u03c4\u03ac \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03cc,\u03c4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c3\u03c4\u03bf\u03bd \u03b3\u03bf\u03bd\u03ad\u03b1. \u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7, \u03b5\u03c6\u03cc\u03c3\u03bf\u03bd \u03b7 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c3\u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc branch.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u039d\u03ad\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1<\/span><span class=\"td-badge\">Routing dependency<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"semantic-residuals\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 semantic residuals<\/h2>\n<p>\u03a3\u03c4\u03bf Semantic Compression Tree, \u03b7 \u03c1\u03af\u03b6\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b9\u03bf \u03c3\u03c5\u03bc\u03c0\u03b9\u03b5\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03b7\u03b3\u03ae\u03c2. \u039a\u03ac\u03b8\u03b5 \u03c0\u03b1\u03b9\u03b4\u03af \u03b4\u03b5\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03ac\u03c2 \u03c4\u03bf\u03c5. \u0391\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03c4\u03bf semantic residual: \u03c4\u03b7\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03bf\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03b3\u03bf\u03bd\u03ad\u03b1. \u039a\u03b1\u03b8\u03ce\u03c2 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03c4\u03b5\u03b2\u03b1\u03af\u03bd\u03b5\u03b9, \u03b5\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b1 residuals \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af context \u03b1\u03c5\u03be\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1\u03c2.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c9\u03c2 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03c4\u03b1 wavelets, \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2. \u0397 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03cc\u03c1\u03b9\u03bf: \u03c4\u03b1 wavelets \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b1, \u03b5\u03bd\u03ce \u03b7 semantic subtraction \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 lossy. \u039c\u03b9\u03b1 extractive \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03b5\u03bd \u03bc\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b3\u03bf\u03bd\u03ad\u03b1\u00b7 \u03bc\u03b9\u03b1 LLM \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9 \u03bd\u03ad\u03b1 \u03b1\u03bb\u03bb\u03ac \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bf\u03bb\u03ae\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1. \u0397 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ae\u00b7 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 evidence recall.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ce\u03bd, \u03bf \u03b3\u03bf\u03bd\u03b9\u03ba\u03cc\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c2 \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c0\u03b1\u03b9\u03b4\u03b9\u03ac \u03bc\u03cc\u03bd\u03bf \u03c4\u03b9\u03c2 \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03ac \u03b1\u03b3\u03bf\u03c1\u03ac, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03ae \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc manual, \u03c4\u03bf \u03b1\u03bd\u03ce\u03c4\u03b5\u03c1\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b5\u03c2 \u03ae \u03cc\u03c1\u03b9\u03b1. \u0397 \u03b1\u03be\u03af\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 residual \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b4\u03b5\u03bc\u03ad\u03bd\u03bf \u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03c4\u03c5\u03c0\u03bf node, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03c0\u03b7\u03b3\u03ae.<\/p>\n<h2 id=\"kataskevi-sct\">\u03a0\u03ce\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 SCT<\/h2>\n<p>\u0397 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03b1\u03c1\u03c7\u03af\u03b6\u03b5\u03b9 \u03b1\u03c0\u03cc parser \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b7\u03b3\u03ae \u03c3\u03b5 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1. \u03a4\u03b1 Markdown \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03ba\u03b5\u03c6\u03b1\u03bb\u03af\u03b4\u03b5\u03c2. \u03a3\u03c4\u03b1 PDFs, \u03b7 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03bf\u03c3\u03b5\u03b9\u03c1\u03ac\u03c2 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1. \u03a3\u03c4\u03b9\u03c2 SQL \u03b2\u03ac\u03c3\u03b5\u03b9\u03c2, \u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 database, tables, columns \u03ba\u03b1\u03b9 row samples. \u03a3\u03c4\u03bf \u03b1\u03c0\u03bb\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03b8\u03b5\u03bc\u03ac\u03c4\u03c9\u03bd \u03b5\u03ba\u03c4\u03b9\u03bc\u03ce\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2.<\/p>\n<p>\u039f compressor \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03af\u03b1 \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03b3\u03bf\u03bd\u03ad\u03b1 \u03ba\u03b1\u03b9, \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b1\u03b9\u03b4\u03af, \u03c4\u03bf residual \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03b1\u03c5\u03c4\u03ae. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1\u03bd LLM compressor \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 zero-LLM extractive \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae. \u0397 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c0\u03cc\u03c3\u03bf\u03b9 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03bf\u03af \u03cc\u03c1\u03bf\u03b9 \u03bc\u03b9\u03b1\u03c2 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03b3\u03bf\u03bd\u03ad\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03b9\u03c2 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03bd\u03ad\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2. \u0388\u03c4\u03c3\u03b9 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 LLM calls \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c4\u03bf\u03c5 index, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae RAG \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7, \u03b7 progressive descent \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c1\u03af\u03b6\u03b1, \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b1 \u03c0\u03b1\u03b9\u03b4\u03b9\u03ac \u03bc\u03b5 cosine similarity, \u03ba\u03c1\u03b1\u03c4\u03ac frontier \u03bc\u03b5 beam width \u03c4\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03ad\u03c9\u03c2 depth bound \u03c0\u03ad\u03bd\u03c4\u03b5. \u03a4\u03b1 residuals \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2 \u03b5\u03bd\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf context. \u03a3\u03b5 corpus \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd, \u03ba\u03ac\u03b8\u03b5 paper \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b1\u03b9\u03b4\u03af \u03bc\u03b9\u03b1\u03c2 \u03b5\u03b9\u03ba\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c1\u03af\u03b6\u03b1\u03c2, \u03ac\u03c1\u03b1 \u03b7 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 document selection. \u0395\u03ba\u03b5\u03af \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03b5\u03b9\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2.<\/p>\n<h2 id=\"dyo-protokolla-axiologisis\">\u0394\u03cd\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03b1 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 50 papers \u03c4\u03bf\u03c5 test split \u03c4\u03bf\u03c5 QASPER. \u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 dataset \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 1.585 NLP papers \u03ba\u03b1\u03b9 5.049 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af 173 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2: 101 extractive, 46 free-form \u03ba\u03b1\u03b9 26 yes\/no. Gold evidence \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b3\u03b9\u03b1 170. \u0388\u03be\u03b9 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c3\u03ae\u03bc\u03b1\u03bd\u03c3\u03b7 unanswerable \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03b8\u03b7\u03ba\u03b1\u03bd \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03b4\u03b5\u03af\u03b3\u03bc\u03b1, \u03b5\u03bd\u03ce \u03ad\u03bd\u03b1 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03ba\u03bf\u03b9\u03bd\u03ac scoreable \u03b1\u03c0\u03cc \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03bf answer table \u03c4\u03bf\u03c5 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd \u03c0\u03c1\u03c9\u03c4\u03bf\u03ba\u03cc\u03bb\u03bb\u03bf\u03c5, \u03b3\u03b9&#8217; \u03b1\u03c5\u03c4\u03cc \u03b5\u03ba\u03b5\u03af \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 n=172.<\/p>\n<p>\u03a3\u03c4\u03bf P1, \u03c4\u03bf benchmark \u03b4\u03af\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf retriever \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc paper. \u03a4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c8\u03ac\u03c7\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc, \u03bf\u03c0\u03cc\u03c4\u03b5 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 index \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 passage retrieval. \u03a3\u03c4\u03bf P2, \u03cc\u03bb\u03b1 \u03c4\u03b1 50 papers \u03b5\u03bd\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf document identifier \u03b1\u03c0\u03bf\u03ba\u03c1\u03cd\u03c0\u03c4\u03b5\u03c4\u03b1\u03b9. \u03a4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03c4\u03cc\u03c3\u03bf \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc passage. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc knowledge base, \u03cc\u03c0\u03bf\u03c5 \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 policy, manual, CRM note \u03ae report.<\/p>\n<aside class=\"td-article-note\"><strong>\u039c\u03b7\u03bd \u03b5\u03bd\u03ce\u03bd\u03b5\u03c4\u03b5 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc:<\/strong> \u03c4\u03bf P1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03b1\u03bd \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03bd\u03b4\u03bf-\u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf evidence. \u03a4\u03bf P2 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 document routing, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03bc\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03bd\u03c9\u03c1\u03af\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03af\u03c3\u03b5\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03b7\u03b3\u03ae.<\/aside>\n<p>\u038c\u03bb\u03b1 \u03c4\u03b1 flat \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03b1 512 tokens \u03bc\u03b5 overlap 64 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 units. \u03a4\u03b1 baselines \u03b5\u03af\u03bd\u03b1\u03b9 BM25, dense VectorRAG \u03ba\u03b1\u03b9 RAPTOR, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 top-1 VectorRAG \u03c9\u03c2 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf token-budget \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2. \u0397 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03bc\u03ad\u03bd\u03bf context \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7. \u03a4\u03bf gold answer \u03ba\u03b1\u03b9 \u03c4\u03bf gold evidence \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b5\u03ba\u03c4\u03cc\u03c2 retrieval path \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac, \u03b3\u03b9\u03b1 scoring.<\/p>\n<h2 id=\"single-document-apotelesmata\">\u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc<\/h2>\n<p>\u03a3\u03c4\u03bf P1, \u03c4\u03bf SCT-Extractive \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 Answer F1 0,274 \u03bc\u03b5 95% confidence interval 0,244\u20130,306. \u03a4\u03bf VectorRAG top-5 \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 0,277 \u03bc\u03b5 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 0,248\u20130,306. \u0397 paired bootstrap \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ad\u03b4\u03c9\u03c3\u03b5 p=0,366, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03c9\u03c2 \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b1. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03ae\u03c4\u03b1\u03bd \u03c3\u03c4\u03bf context: 2.178 tokens \u03b3\u03b9\u03b1 \u03c4\u03bf SCT \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 3.120, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 30% \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1, \u03c7\u03c9\u03c1\u03af\u03c2 LLM calls \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c4\u03bf\u03c5 extractive index.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03bf operating point \u03c4\u03bf\u03c5 SCT \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf paper \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf QASPER P1 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2, \u03c4\u03b1 confidence intervals \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 evidence \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,274<\/span><span class=\"td-metric-label\">Answer F1 \u03b3\u03b9\u03b1 SCT-Extractive<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2.178<\/span><span class=\"td-metric-label\">context tokens \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf\u03bd generator<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">30%<\/span><span class=\"td-metric-label\">\u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf context \u03b1\u03c0\u03cc VectorRAG top-5<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,895<\/span><span class=\"td-metric-label\">evidence token recall<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03bf top-1 VectorRAG \u03ad\u03c3\u03c4\u03b5\u03b9\u03bb\u03b5 \u03bc\u03cc\u03bd\u03bf 646 tokens, \u03b1\u03bb\u03bb\u03ac \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03b5 F1 0,232. \u0391\u03c5\u03c4\u03cc \u03b1\u03c0\u03bf\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b2\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03cc\u03c4\u03b9 \u00ab\u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 tokens \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1\u00bb. \u03a4\u03bf SCT \u03b4\u03b5\u03bd \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03ba\u03bf\u03c8\u03b5 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b1 \u03c4\u03bf prompt\u00b7 \u03ba\u03c1\u03ac\u03c4\u03b7\u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03bf budget \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf evidence \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03bc\u03cc\u03bd\u03bf dense chunk.<\/p>\n<p>\u0397 LLM \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03b7 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c3\u03c4\u03bf P1. \u03a4\u03bf SCT-LLM \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 F1 0,233 \u03bc\u03b5 802 context tokens. \u0397 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03b1 evidence recall \u03ba\u03b1\u03c4\u03ad\u03c1\u03c1\u03b5\u03c5\u03c3\u03b5 \u03c3\u03c4\u03bf 0,009, \u03b5\u03bd\u03ce \u03b7 evidence token recall \u03ae\u03c4\u03b1\u03bd 0,590. \u0391\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03b7 extractive \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 0,720 \u03ba\u03b1\u03b9 0,895 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1. \u0397 LLM \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c3\u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae, \u03b1\u03bb\u03bb\u03ac \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 \u03c4\u03cc\u03c3\u03bf \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03ce\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03c0\u03c1\u03c9\u03c4\u03cc\u03c4\u03c5\u03c0\u03b1 supporting paragraphs \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd.<\/p>\n<h2 id=\"routing-apotygchanei\">\u0393\u03b9\u03b1\u03c4\u03af \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 routing<\/h2>\n<p>\u03a3\u03c4\u03bf P2, \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc document \u03b4\u03b5\u03bd \u03b4\u03af\u03bd\u03b5\u03c4\u03b1\u03b9, \u03c4\u03bf SCT-Extractive \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03b5 Answer F1 0,122, \u03b5\u03bd\u03ce \u03c4\u03bf VectorRAG \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 0,165, \u03bc\u03b5 p&lt;0,001. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 passage. \u0397 progressive descent \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc paper \u03c3\u03c4\u03bf 20,2% \u03c4\u03c9\u03bd \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 39,3% \u03b3\u03b9\u03b1 \u03c4\u03bf flat dense retrieval. \u039c\u03b5 \u03b1\u03c0\u03bb\u03ac \u03bb\u03cc\u03b3\u03b9\u03b1, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03bc\u03c0\u03b1\u03b9\u03bd\u03b5 \u03c0\u03bf\u03bb\u03cd \u03c3\u03c5\u03c7\u03bd\u03ac \u03c3\u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2.<\/p>\n<p>\u039f \u03bb\u03cc\u03b3\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03bf\u03bc\u03b9\u03ba\u03cc\u03c2. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf query \u03bc\u03b5 \u03c4\u03bf root residual \u03ba\u03ac\u03b8\u03b5 paper, \u03bc\u03b9\u03b1 \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03bc\u03af\u03b1\u03c2 \u03ae \u03b4\u03cd\u03bf \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd. \u0391\u03bd \u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b6\u03b7\u03c4\u03ac optimizer, \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf ablation \u03ae \u03b5\u03be\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c7\u03c9\u03c1\u03ac \u03c3\u03c4\u03b7 \u03c1\u03af\u03b6\u03b1, \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7\u03c2. \u03a4\u03bf flat retrieval \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf query \u03bc\u03b5 \u03ba\u03ac\u03b8\u03b5 passage, \u03ac\u03c1\u03b1 \u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf scoring \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf-\u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03af\u03b5\u03b9 \u03c4\u03b7 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03c4\u03b7 \u03b4\u03b5\u03b9.<\/p>\n<p>\u03a4\u03bf \u03b6\u03ae\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b5\u03cd\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf field-aware routing: \u03bf <a href=\"https:\/\/twodots.gr\/schemarouter-ai-agents-field-aware-rag\/\">SchemaRouter \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf plan \u03b1\u03c0\u03cc \u03c4\u03bf downstream context<\/a>, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bc\u03b9\u03b1 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03c7\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03b5\u03af \u03c4\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ac \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03b4\u03af\u03b1. \u03a0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1, \u03c4\u03bf SCT \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 global route \u03c0\u03bf\u03c5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 recall \u03c0\u03c1\u03b9\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf\u03c5. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 hybrid \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 &#8211; flat \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae passage \u03ae document \u03ba\u03b1\u03b9 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2 \u03bc\u03b5\u03c4\u03ac &#8211; \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Production gate \u03b3\u03b9\u03b1 RAG routing<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03c4\u03b5 \u03c0\u03c1\u03b9\u03bd \u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03b8\u03b5\u03af\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03c8\u03ac\u03c7\u03bd\u03b5\u03c4\u03b5 \u03c3\u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae<\/p>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 global candidate retrieval, \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 multi-branch \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 fallback \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf routing confidence \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc. \u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd, \u03c0\u03bf\u03b9\u03b1 passages \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03c4\u03c5\u03c0\u03bf evidence \u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b5 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<h2 id=\"residuals-enantion-tree\">\u03a4\u03b1 residuals \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd, \u03c4\u03bf tree retrieval \u03cc\u03c7\u03b9<\/h2>\n<p>\u039f\u03b9 ablations \u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03b4\u03cd\u03bf \u03b9\u03b4\u03ad\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03c3\u03c5\u03b3\u03c7\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9. \u03a4\u03bf SCT-FullSummary \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf \u03af\u03b4\u03b9\u03bf tree \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b1 residuals \u03bc\u03b5 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2. \u03a3\u03c4\u03bf P1, \u03c4\u03bf F1 \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 0,274 \u03c3\u03b5 0,205, \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 34%, \u03bc\u03b5 paired p&lt;0,001. \u0397 evidence token recall \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 0,895 \u03c3\u03b5 0,584. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd residual \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03bc\u03b5 \u03bc\u03b9\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c6\u03cd\u03bb\u03b1\u03be\u03b7: \u03bf\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf 437 context tokens, \u03ac\u03c1\u03b1 \u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03af\u03c3\u03bf budget.<\/p>\n<p>\u03a4\u03bf SCT-Flat \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1: \u03ba\u03c1\u03b1\u03c4\u03ac \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 residuals \u03b1\u03bb\u03bb\u03ac \u03c0\u03b5\u03c4\u03ac \u03c4\u03bf tree \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03bc\u03b5 flat cosine similarity. \u03a3\u03c4\u03bf P1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 F1 0,272. \u0397 \u03ac\u03bc\u03b5\u03c3\u03b7 paired \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac tree \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 flat \u03ae\u03c4\u03b1\u03bd +0,0017, \u03bc\u03b5 p=0,420 \u03ba\u03b1\u03b9 confidence interval \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf document \u03ae\u03c4\u03b1\u03bd \u03ae\u03b4\u03b7 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc, \u03b7 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ba\u03ac\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u03a3\u03c4\u03bf corpus protocol, \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03c4\u03bf tree: 0,122 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,147 \u03c4\u03bf\u03c5 SCT-Flat, \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac -0,0255 \u03ba\u03b1\u03b9 p=0,009. \u0397 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b7 \u03c3\u03c4\u03bf construction, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 residual \u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03b3\u03bf\u03bd\u03ad\u03b1. \u0391\u03c5\u03c4\u03cc \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ae top-down \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1\u03c2 \u03c9\u03c2 retrieval policy.<\/p>\n<h2 id=\"kostos-context-kai-metrikes\">\u039a\u03cc\u03c3\u03c4\u03bf\u03c2, context \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9<\/h2>\n<p>\u039a\u03b1\u03b8\u03ce\u03c2 \u03c4\u03bf index \u03bc\u03b5\u03b3\u03ac\u03bb\u03c9\u03c3\u03b5 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03b5 50 documents, \u03c4\u03bf VectorRAG \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b5 8 \u03ba\u03b1\u03b9 \u03ad\u03c0\u03b5\u03b9\u03c4\u03b1 386 nodes \u03b1\u03bd\u03ac query, \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 48,9 \u03c6\u03bf\u03c1\u03ad\u03c2. \u03a4\u03bf SCT-Extractive \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03b1\u03c0\u03cc 13 \u03c3\u03b5 81 nodes, \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 6,4 \u03c6\u03bf\u03c1\u03ad\u03c2. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03b7 progressive descent \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 scoring. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf corpus: \u03c3\u03c4\u03bf P2 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 root scan \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 documents, \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf \u03b3\u03b9\u03b1 approximate indexing.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03bf\u03c5\u03bd \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03c3\u03bf\u03c5\u03bd \u03c4\u03b1 milliseconds \u03c9\u03c2 \u03b4\u03af\u03ba\u03b1\u03b9\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7. \u03a4\u03bf SCT \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af residual embeddings \u03c3\u03b5 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae Python, \u03b5\u03bd\u03ce \u03c4\u03b1 flat baselines \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd vectorized dot product. \u0397 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac latency \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c7\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae. \u0388\u03bd\u03b1 production pilot \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9 end-to-end latency, query embedding, network round trips, reranking, generation \u03ba\u03b1\u03b9 cache behavior \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 stack.<\/p>\n<p>\u0397 \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 depth bound \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b1\u03bd\u03ad\u03b2\u03b1\u03c3\u03b5 \u03c4\u03bf F1 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,272 \u03c3\u03b5 0,274, \u03b5\u03bd\u03ce \u03c4\u03bf context \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 1.744 \u03c3\u03b5 2.178 tokens. \u0391\u03c0\u03cc \u03c4\u03b1 50 papers, \u03c4\u03b1 28 \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b1\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c5\u03c0\u03bf\u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2. \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03b2\u03ac\u03b8\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b2\u03bf\u03b7\u03b8\u03ac \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c0\u03b7\u03b3\u03ae \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b7 \u03b4\u03bf\u03bc\u03ae. \u0397 early-stop \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03bc\u03b5 similarity floor 0,30 \u03ad\u03b4\u03c9\u03c3\u03b5 F1 0,273 \u03ba\u03b1\u03b9 2.098 tokens: \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b4\u03c9\u03c1\u03b5\u03ac\u03bd, \u03b1\u03bb\u03bb\u03ac \u03bc\u03b9\u03ba\u03c1\u03ae \u03b5\u03be\u03bf\u03b9\u03ba\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf threshold.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1:<\/strong> \u03c4\u03bf context\u2013answer overlap F1 \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf context \u03bb\u03cc\u03b3\u03c9 \u03c4\u03bf\u03c5 precision \u03c0\u03b1\u03c1\u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03c4\u03ae. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03c4\u03bf VectorRAG top-1 \u03c6\u03b1\u03b9\u03bd\u03cc\u03c4\u03b1\u03bd 3,4 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf top-5 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03b5\u03af\u03c7\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf Answer F1. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2, evidence recall \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03b1\u03b6\u03af.<\/aside>\n<h2 id=\"oria-paragogis\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 production deployment<\/h2>\n<p>\u03a4\u03bf benchmark \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c3\u03b5 50 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac papers \u03ba\u03b1\u03b9 173 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03bd\u03cc\u03c2 dataset. \u03a4\u03b1 NLP papers \u03ad\u03c7\u03bf\u03c5\u03bd \u03ba\u03b1\u03b8\u03b1\u03c1\u03ad\u03c2 \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03bd\u03bf\u03ca\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c3\u03b1\u03c1\u03c9\u03bc\u03ad\u03bd\u03b1 PDFs, transcripts, email threads \u03ae chat logs. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf corpus, \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03bc\u03b9\u03c3\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b1\u03bd \u03c5\u03c0\u03bf\u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2. \u0397 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 standards, \u03bd\u03bf\u03bc\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b5\u03c2, manuals, books \u03ae \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae database schemas \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03b9\u03ba\u03cc \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1.<\/p>\n<p>\u03a4\u03b1 judge-based scores \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03b7 \u03bf\u03c0\u03bf\u03af\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 answer generation, \u03ac\u03c1\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 self-preference. \u039f judge \u03ad\u03b4\u03c9\u03c3\u03b5 correctness 0,780 \u03c3\u03c4\u03bf VectorRAG \u03ba\u03b1\u03b9 0,688 \u03c3\u03c4\u03bf SCT-Extractive, \u03b5\u03bd\u03ce \u03c4\u03bf token-level Answer F1 \u03c4\u03b1 \u03c4\u03bf\u03c0\u03bf\u03b8\u03ad\u03c4\u03b7\u03c3\u03b5 \u03c0\u03bf\u03bb\u03cd \u03ba\u03bf\u03bd\u03c4\u03ac. \u0397 faithfulness \u03ae\u03c4\u03b1\u03bd 0,974 \u03ad\u03c9\u03c2 0,997 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b4\u03b9\u03ad\u03ba\u03c1\u03b9\u03bd\u03b5 \u03c4\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u0393\u03b9\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03bd\u03bf\u03bc\u03b9\u03ba\u03cc, \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc \u03ae \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03cc \u03b2\u03ac\u03c1\u03bf\u03c2, \u03b7 verbatim \u03ba\u03b1\u03b9 token evidence recall \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03c5\u03c0\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc faithfulness score.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 multi-hop queries. \u0388\u03bd\u03b1 \u03b1\u03af\u03c4\u03b7\u03bc\u03b1 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b9\u03bc\u03ae, \u03b4\u03b9\u03b1\u03b8\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c7\u03c1\u03cc\u03bd\u03bf \u03b1\u03c0\u03bf\u03c3\u03c4\u03bf\u03bb\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac branches \u03ae \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u039c\u03af\u03b1 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bd\u03cc\u03b7\u03c4\u03b1 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c7\u03ae\u03bc\u03b1. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 multi-branch retrieval, provenance \u03b1\u03bd\u03ac claim \u03ba\u03b1\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b1\u03c0\u03bf\u03c7\u03ae\u03c2 \u03cc\u03c4\u03b1\u03bd \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 evidence. \u0397 <a href=\"https:\/\/twodots.gr\/coresec-ai-abstention-root-cause-analysis\/\">\u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b1\u03c0\u03bf\u03c7\u03ae \u03b5\u03bd\u03cc\u03c2 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 &#8211; route, retrieval, compression \u03ae generation &#8211; \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 confidence \u03c4\u03bf\u03c5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03bf\u03cd \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5.<\/p>\n<h2 id=\"knowledge-bases-ecommerce-support\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 knowledge bases, e-commerce \u03ba\u03b1\u03b9 support<\/h2>\n<p>\u03a3\u03b5 \u03ad\u03bd\u03b1 e-commerce, \u03bf\u03b9 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd catalog, manuals, size guides, \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c3\u03c4\u03bf\u03bb\u03ae\u03c2, returns, tickets \u03ba\u03b1\u03b9 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac playbooks. \u03a4\u03b1 semantic residuals \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03bf\u03c5\u03bd \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1. \u0394\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf route \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03c5\u03c0\u03b5\u03c1\u03c3\u03c5\u03bc\u03c0\u03b9\u03b5\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b7\u03b3\u03ae\u03c2. \u03a4\u03bf candidate set \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b5\u03c5\u03c1\u03cd \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03bc\u03b7 \u03c7\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03ae \u03b7 \u03c0\u03c1\u03bf\u03b4\u03b9\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u03a3\u03c4\u03bf customer support, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00abtokens \u03c0\u03bf\u03c5 \u03b3\u03bb\u03b9\u03c4\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd\u00bb, \u03b1\u03bb\u03bb\u03ac \u03b5\u03c0\u03b9\u03bb\u03c5\u03bc\u03ad\u03bd\u03bf \u03b1\u03af\u03c4\u03b7\u03bc\u03b1 \u03bc\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03c0\u03b7\u03b3\u03ae. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 document routing accuracy, recall \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03c9\u03bd \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03c9\u03bd, correctness, citation coverage, escalation rate, latency \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0388\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc prompt \u03c0\u03bf\u03c5 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03bf\u03c3\u03c4\u03af\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 pointers \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03c4\u03c5\u03c0\u03bf node \u03ba\u03b1\u03b9 metadata \u03b3\u03b9\u03b1 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7, owner, \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1 \u03b9\u03c3\u03c7\u03cd\u03bf\u03c2 \u03ba\u03b1\u03b9 access policy. \u039f\u03b9 <a href=\"https:\/\/twodots.gr\/ai-agents-etairika-eggrafa-domi-anagnosi-proza-syggrafi\/\">AI agents \u03b3\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7<\/a>, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b4\u03bf\u03bc\u03ae \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac authorization \u03ae human approval. \u0391\u03bd \u03c4\u03bf corpus \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf, \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5 context \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03b5\u03af prompt injection \u03ae \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03c0\u03b7\u03b3\u03ae\u03c2.<\/p>\n<p>\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 modular. \u0388\u03bd\u03b1\u03c2 global retriever \u03ae router \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1 documents \u03ba\u03b1\u03b9 passages, \u03ad\u03bd\u03b1 residual index \u03c1\u03c5\u03b8\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2, \u03ba\u03b1\u03b9 \u03bf generator \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 evidence \u03bc\u03b5 provenance. \u03a0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1, \u03bf <a href=\"https:\/\/twodots.gr\/nexus-mcp-tool-routing-ai-agents\/\">tool routing \u03b3\u03b9\u03b1 AI agents<\/a> \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd, \u03b7 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 schema \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ac \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03bc\u03b5 logs \u03ba\u03b1\u03b9 fallback.<\/p>\n<h2 id=\"pilot-epta-vimata\">\u0388\u03bd\u03b1 pilot \u03b5\u03c0\u03c4\u03ac \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 vanity metrics<\/h2>\n<p>\u0388\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf pilot \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03bc\u03b5 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2. \u0394\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf knowledge estate \u03c3\u03b5 \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf. \u0395\u03c0\u03b9\u03bb\u03ad\u03be\u03c4\u03b5 \u03ad\u03bd\u03b1 read-only use case \u03cc\u03c0\u03bf\u03c5 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03bf\u03cd\u03c2 human escalation.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03bf\u03cd\u03bd \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac representation \u03ba\u03b1\u03b9 routing<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf RAG, \u03c0\u03bf\u03b9\u03b1 \u03bb\u03ac\u03b8\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ac, \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c7\u03ae \u03ae \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03c0\u03b7\u03b3\u03ce\u03bd<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 headings, \u03b2\u03ac\u03b8\u03bf\u03c2, \u03c3\u03b1\u03c1\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03b5\u03bb\u03af\u03b4\u03b5\u03c2, tables, \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2. \u039c\u03b7\u03bd \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 PDF \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03bf\u03cd\u03bd<\/strong>\n<p>\u03a7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2, \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b5\u03c2, \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd, \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c4\u03c5\u03c0\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03bf\u03bc\u03b9\u03ba\u03bf\u03cd\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c9\u03c2 evidence \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03be\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u0394\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 gold set \u03b4\u03cd\u03bf \u03b5\u03c0\u03b9\u03c0\u03ad\u03b4\u03c9\u03bd<\/strong>\n<p>\u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03c4\u03b5 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 query \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc document \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ac passages, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 routing failure \u03b1\u03c0\u03cc \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03b4\u03af\u03ba\u03b1\u03b9\u03b1 baselines<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 flat dense retrieval, residual flat retrieval \u03ba\u03b1\u03b9 hybrid route-then-descend \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 budgets \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b2\u03b1\u03c6\u03c4\u03af\u03b6\u03b5\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 answer \u03ba\u03b1\u03b9 evidence \u03bc\u03b1\u03b6\u03af<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 document routing accuracy, passage recall, verbatim \u03ba\u03b1\u03b9 token evidence recall, answer correctness, citations, latency, token usage \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 shadow mode \u03bc\u03b5 fallback<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 candidates, route, residuals, \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc context \u03ba\u03b1\u03b9 source pointers. \u0395\u03c0\u03b9\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0421\u0430\u0439\u0442\u044a\u0442 <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI \u03c4\u03b7\u03c2 TWO DOTS<\/a> \u03be\u03b5\u03ba\u03b9\u03bd\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1, \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c4\u03bf\u03c5\u03c2 owners \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5. \u03a3\u03b5 \u03ad\u03bd\u03b1 SCT-style pilot, \u03b7 \u03b1\u03be\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b5\u03b8\u03b5\u03af \u03ad\u03bd\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc tree, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03cc\u03c4\u03b9 \u03c4\u03bf context \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b8\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 routing recall, provenance \u03ae \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7.<\/p>\n<h2 id=\"teliki-apofasi\">\u0397 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7: \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc route<\/h2>\n<p>\u0397 \u03c0\u03b9\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03c3\u03c5\u03bc\u03b2\u03bf\u03bb\u03ae \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03bb\u03bf\u03ae\u03b3\u03b7\u03c3\u03b7. \u03a4\u03b1 semantic residuals \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b1\u03bd \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf context \u03ba\u03b1\u03b9 \u03bd\u03af\u03ba\u03b7\u03c3\u03b1\u03bd \u03c4\u03b9\u03c2 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf ablation. \u0397 progressive descent, \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03b4\u03b5\u03bd \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c3\u03b5 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf paper \u03ae\u03c4\u03b1\u03bd \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b1\u03c3\u03b5 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03cc\u03c4\u03b1\u03bd \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03c4\u03bf \u03b2\u03c1\u03b5\u03b9.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u00abselect, verify, then compress\u00bb. \u03a0\u03c1\u03ce\u03c4\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ad\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03bc\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc recall. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7, \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, provenance \u03ba\u03b1\u03b9 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03b1 evidence. \u039c\u03cc\u03bd\u03bf \u03c4\u03cc\u03c4\u03b5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 multi-resolution context \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c4\u03bf prompt \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03b5\u03af \u03b7 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1.<\/p>\n<p>\u03a4\u03b1 Semantic Compression Trees \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 drop-in \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 vector search \u03bf\u03cd\u03c4\u03b5 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5 end-to-end latency. \u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03bf\u03cd \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03b1\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03b7 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03af\u03b1 retrieval \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2. \u0397 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03c5\u03b9\u03bf\u03b8\u03ad\u03c4\u03b7\u03c3\u03b7 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf residual representation, \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 hybrid routing \u03ba\u03b1\u03b9 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03ad\u03c2 evidence \u03c0\u03c1\u03b9\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03b5\u03c1\u03b3\u03b1\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf \u03ae \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf knowledge base \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf RAG pilot<\/p>\n<p class=\"td-service-cta-title\">\u039c\u03b5\u03b9\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf context \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03c4\u03b5 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc evidence<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c0\u03b7\u03b3\u03ad\u03c2, routing, retrieval metrics, permissions \u03ba\u03b1\u03b9 fallback, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 AI workflow \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 RAG pilot<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 Semantic Compression Trees;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b9\u03ba\u03ac indexes \u03cc\u03c0\u03bf\u03c5 \u03ba\u03ac\u03b8\u03b5 node \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c4\u03b7 \u03bd\u03ad\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03b3\u03bf\u03bd\u03ad\u03b1 \u03c4\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03bf context \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b1 residuals \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c4\u03bf \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc vector search;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7. \u0397 residual \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd \u03c5\u03c0\u03bf\u03c3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ac top-down routing \u03c5\u03c3\u03c4\u03ad\u03c1\u03b7\u03c3\u03b5 \u03cc\u03c4\u03b1\u03bd \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03bf context \u03b5\u03be\u03bf\u03b9\u03ba\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b5 \u03c4\u03bf SCT;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf single-document \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf, \u03c4\u03bf SCT-Extractive \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 2.178 context tokens \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 3.120 \u03c4\u03bf\u03c5 VectorRAG top-5, \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 30% \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1, \u03bc\u03b5 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03af\u03b4\u03b9\u03bf Answer F1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c4\u03bf document routing;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b2\u03b1\u03c3\u03b9\u03b6\u03cc\u03c4\u03b1\u03bd \u03c3\u03b5 root residual \u03bc\u03af\u03b1\u03c2 \u03ae \u03b4\u03cd\u03bf \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd. \u0391\u03bd \u03b7 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03c5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03b5\u03ba\u03b5\u03af, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03c0\u03ad\u03bb\u03b5\u03b3\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 paper \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03ac\u03bc\u03c8\u03b5\u03b9 \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0389\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b7 LLM \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc document \u03ae\u03c4\u03b1\u03bd \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc. \u0397 extractive \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03b5\u03af\u03c7\u03b5 F1 0,274 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,233 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03c0\u03bf\u03bb\u03cd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03bf evidence \u03c7\u03c9\u03c1\u03af\u03c2 LLM calls \u03b3\u03b9\u03b1 \u03c4\u03bf indexing.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c4\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 residuals \u03bc\u03b5 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2: \u03c4\u03bf F1 \u03ae\u03c4\u03b1\u03bd 0,274 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,205. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03cc\u03bc\u03c9\u03c2 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03c5\u03cc\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc context budget \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03cc.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b9\u03b1 \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03bc\u03b5 global retrieval \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd recall \u03ba\u03b1\u03b9 residual \u03ae hierarchical retrieval \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2. \u0397 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf paper.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 50 QASPER papers \u03ba\u03b1\u03b9 173 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03b1\u03b4\u03cc\u03bc\u03b7\u03c4\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03b1\u03c1\u03c7\u03b5\u03af\u03b1, \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 corpora \u03ae multi-hop workflows.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21610\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Semantic Compression Trees: Multi-Resolution Knowledge Retrieval via Hierarchical Semantic Residuals<\/a><\/li>\n<li><a href=\"https:\/\/aclanthology.org\/2021.naacl-main.365\/\" target=\"_blank\" rel=\"noopener\">ACL Anthology \u2014 QASPER: A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2005.11401\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2401.18059\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST AI RMF Core \u2014 Govern, Map, Measure \u03ba\u03b1\u03b9 Manage<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03b1 Semantic Compression Trees \u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf context \u03c3\u03c4\u03bf RAG, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf top-down routing \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03cc \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2.<\/p>","protected":false},"author":1,"featured_media":97963,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[6506,20459,8233,20457,20458],"class_list":["post-97188","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-agents","tag-knowledge-retrieval","tag-rag","tag-semantic-compression-trees","tag-semantic-residuals"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=97188"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97188\/revisions"}],"predecessor-version":[{"id":97964,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97188\/revisions\/97964"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/97963"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=97188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=97188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=97188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}