{"id":97881,"date":"2026-09-25T08:09:17","date_gmt":"2026-09-25T05:09:17","guid":{"rendered":"https:\/\/twodots.gr\/?p=97881"},"modified":"2026-09-25T08:09:19","modified_gmt":"2026-09-25T05:09:19","slug":"causal-rag-reranking-sosti-apantisi","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/causal-rag-reranking-sosti-apantisi\/","title":{"rendered":"Causal RAG: \u03cc\u03c4\u03b1\u03bd \u03b7 \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bb\u03ad\u03be\u03b5\u03c9\u03bd \u03b4\u03b5\u03bd \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Answer first:<\/strong> \u03c4\u03bf causal RAG reranking \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03bf\u03b7\u03b8\u03ae\u03c3\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b1\u03bd\u03b5\u03b2\u03ac\u03b6\u03b5\u03b9 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc \u03bb\u03b5\u03be\u03b9\u03bb\u03cc\u03b3\u03b9\u03bf \u03bc\u03b5 \u03c4\u03bf query \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03bf\u03b9 \u03cc\u03c1\u03bf\u03b9 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf evidence.<\/p>\n<p>\u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03b2\u03ac\u03b8\u03bc\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 retrieval. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03c0\u03ad\u03b4\u03c9\u03c3\u03b5 \u03c3\u03b5 keyword-stuffing \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03b1\u03bb\u03bb\u03ac \u03c5\u03c0\u03bf\u03c7\u03ce\u03c1\u03b7\u03c3\u03b5 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03c3\u03b5 \u03c4\u03c1\u03af\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac BEIR benchmarks. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf: \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc labeled probes \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 corpus, \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf baseline \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#giati-similarity-lathos-eggrafo\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf similarity \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf<\/a><\/li>\n<li><a href=\"#ti-einai-causal-rag-reranking\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf causal RAG reranking<\/a><\/li>\n<li><a href=\"#attention-score-choris-training\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf attention-style score \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03ad\u03bf training<\/a><\/li>\n<li><a href=\"#semantic-absorption\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 semantic absorption<\/a><\/li>\n<li><a href=\"#knowledge-base-471-eggrafa\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03c4\u03c9\u03bd 471 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd<\/a><\/li>\n<li><a href=\"#diagnostic-keyword-stuffing\">\u03a4\u03bf diagnostic test \u03b3\u03b9\u03b1 keyword stuffing<\/a><\/li>\n<li><a href=\"#beir-arnitika-apotelesmata\">\u03a4\u03b1 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b1 BEIR benchmarks \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#calibration-gate\">\u03a4\u03bf calibration gate \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/a><\/li>\n<li><a href=\"#kostos-idiotikotita-exartiseis\">\u039a\u03cc\u03c3\u03c4\u03bf\u03c2, \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#epicheirimatiki-axia\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc RAG<\/a><\/li>\n<li><a href=\"#epta-vimata-pilot\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot<\/a><\/li>\n<li><a href=\"#periorismoi-symperasma\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"giati-similarity-lathos-eggrafo\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf similarity \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf<\/h2>\n<p>\u0388\u03bd\u03b1 \u03c4\u03c5\u03c0\u03b9\u03ba\u03cc RAG \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c3\u03b5 embeddings, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 cosine similarity \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03ad\u03c0\u03b5\u03b9\u03c4\u03b1 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03b5\u03b9 cross-encoder reranker. \u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b7: \u03ad\u03bd\u03b1 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03b8\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03c3\u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7. \u038c\u03bc\u03c9\u03c2 \u03b7 \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03b4\u03cd\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1 \u03bc\u03b9\u03bb\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf \u03b8\u03ad\u03bc\u03b1, \u03cc\u03c7\u03b9 \u03b1\u03bd \u03c4\u03bf \u03ad\u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c4\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>From Association to Causation<\/em> \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c5\u03bd\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd. \u0388\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03b3\u03b9\u03b1 automotive data \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b1\u03bd \u03c8\u03b7\u03bb\u03ac \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b1\u03bd \u03c3\u03c5\u03c7\u03bd\u03ac \u03cc\u03c1\u03bf\u03c5\u03c2 \u03cc\u03c0\u03c9\u03c2 \u00abdata\u00bb, \u00abcross-border\u00bb, \u00absecurity\u00bb \u03ba\u03b1\u03b9 \u00abassessment\u00bb. \u0397 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03c4\u03b7 \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c3\u03c4\u03b7\u03bd \u03ad\u03ba\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03be\u03b7\u03b3\u03bf\u03cd\u03c3\u03b5 \u03c4\u03b1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b5 \u03c0\u03b9\u03bf \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03bb\u03b5\u03be\u03b9\u03bb\u03cc\u03b3\u03b9\u03bf.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf ranking metric. \u0391\u03bd \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 evidence \u03bc\u03c0\u03b5\u03b9 \u03c3\u03c4\u03bf prompt, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc LLM \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03bd\u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2 context. \u0397 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7, \u03cc\u03c0\u03c9\u03c2 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03bd\u03cc\u03c2 <a href=\"https:\/\/twodots.gr\/private-chatbot-rag-knowledge-base-business\/\">private chatbot \u03bc\u03b5 RAG \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ae \u03b3\u03bd\u03ce\u03c3\u03b7<\/a>.<\/p>\n<h2 id=\"ti-einai-causal-rag-reranking\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf causal RAG reranking<\/h2>\n<p>\u0397 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03b3\u03c1\u03ac\u03c6\u03bf \u03b1\u03b9\u03c4\u03af\u03c9\u03bd \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b6\u03b7\u03c4\u03ac \u03b1\u03c0\u03cc LLM \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03b5\u03b9 causal paths. \u039c\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 retrieval. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03bc\u03ad\u03bd\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf, \u03c4\u03bf \u03bb\u03b1\u03bd\u03b8\u03ac\u03bd\u03bf\u03bd \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf <strong>A<\/strong> \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf, \u03b5\u03af\u03c4\u03b5 \u03bc\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03b5\u03af\u03c4\u03b5 \u03bc\u03b5 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03b3\u03b3\u03cd\u03c4\u03b7\u03c4\u03b1. \u03a4\u03bf <strong>B<\/strong> \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c5\u03c0\u03bf\u03bb\u03b5\u03b9\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf, \u03c3\u03c4\u03b1\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03bb\u03b5\u03be\u03b9\u03bb\u03cc\u03b3\u03b9\u03bf \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5.<\/p>\n<p>\u03a3\u03c4\u03bf \u03b3\u03c1\u03ac\u03c6\u03b7\u03bc\u03b1 \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd, \u03c4\u03bf A \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03ba\u03bf\u03b9\u03bd\u03ae \u03b1\u03b9\u03c4\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5, \u03b5\u03bd\u03ce \u03c4\u03bf B \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b9\u03b4\u03b1\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u03a4\u03bf \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03bc\u03ad\u03bd\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 collider \u03c3\u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae A \u2192 d \u2190 B. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 \u03c9\u03c2 \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5 \u00ab\u03b1\u03bd\u03bf\u03af\u03b3\u03b5\u03b9\u00bb \u03bc\u03b9\u03b1 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf B, \u03c4\u03b7\u03bd \u03bf\u03c0\u03bf\u03af\u03b1 \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c9\u03c2 \u03ba\u03af\u03bd\u03b7\u03c4\u03c1\u03bf \u03b3\u03b9\u03b1 \u03bd\u03ad\u03bf score.<\/p>\n<p>\u0397 \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03c1\u03b7\u03c4\u03ac \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03b5\u03ba\u03c4\u03b9\u03bc\u03bf\u03cd\u03bd causal effect \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf score \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03bf causal estimand. \u039f \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 motivational \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u00b7 \u03c4\u03bf \u03b1\u03bd \u03b7 \u03b9\u03b4\u03ad\u03b1 \u03b4\u03bf\u03c5\u03bb\u03b5\u03cd\u03b5\u03b9 \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1.<\/p>\n<aside class=\"td-article-note\"><strong>\u038c\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 \u03cc\u03c1\u03bf\u03c5 \u00abcausal\u00bb:<\/strong> \u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 causally motivated heuristic \u03b3\u03b9\u03b1 \u03c4\u03bf terminal retrieval. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03b5\u03af \u03bc\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac relevance labels, offline evaluation \u03ae domain review.<\/aside>\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\">Similarity baseline<\/p>\n<p>\u0391\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03b3\u03b3\u03cd\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c3\u03c5\u03c1\u03b8\u03b5\u03af \u03cc\u03c4\u03b1\u03bd \u03ac\u03c3\u03c7\u03b5\u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf query vocabulary.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0393\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf<\/span><span class=\"td-badge\">\u0399\u03c3\u03c7\u03c5\u03c1\u03cc baseline<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Cross-encoder<\/p>\n<p>\u0392\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af query \u03ba\u03b1\u03b9 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03bc\u03b1\u03b6\u03af. \u03a3\u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc diagnostic corpus \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03bb\u03af\u03b3\u03bf \u03c4\u03bf target rank, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ad\u03bb\u03c5\u03c3\u03b5 \u03c4\u03bf keyword-stuffing failure.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Supervised<\/span><span class=\"td-badge\">2,63 mean rank<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Causal \u03ae hybrid<\/p>\n<p>\u0392\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03bf residual vocabulary B \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03c4\u03b5\u03af \u03bc\u03b5 similarity, \u03b1\u03bb\u03bb\u03ac \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 corpus \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ad\u03c4\u03b1\u03b9.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Training-free<\/span><span class=\"td-badge\">Calibration first<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"attention-score-choris-training\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf attention-style score \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03ad\u03bf training<\/h2>\n<p>\u0397 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03ae\u03b4\u03b7 \u03bc\u03b9\u03ba\u03c1\u03cc candidate set \u03c4\u03bf\u03c5 retriever. \u0388\u03bd\u03b1\u03c2 keyword extractor \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf query \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf. \u038c\u03c3\u03bf\u03b9 \u03cc\u03c1\u03bf\u03b9 \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c4\u03bf query vocabulary \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03c3\u03c4\u03bf A. \u03a3\u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 threshold \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03bf\u03c1\u03c1\u03cc\u03c6\u03b7\u03c3\u03b7\u03c2 0,6.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf B \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 weighted centroid embedding. \u03a4\u03bf causal-attention score \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 cosine similarity \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf embedding \u03c4\u03b7\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf centroid. \u0388\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ae \u03c6\u03c4\u03c9\u03c7\u03cc B \u03ba\u03b1\u03b9 \u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03b2\u03b1\u03b8\u03bc\u03b9\u03c3\u03c4\u03b5\u03af. \u0388\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c4\u03bf\u03c5 \u03bf\u03c0\u03bf\u03af\u03bf\u03c5 \u03c4\u03bf residual vocabulary \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03ae \u03c4\u03bf answer-bearing \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03ad\u03b2\u03b5\u03b9.<\/p>\n<p>\u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af fine-tuning \u03ba\u03b1\u03b9, \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c1\u03bf\u03ae, \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 LLM call \u03c4\u03b7\u03bd \u03ce\u03c1\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2. \u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 keyword extraction \u03ba\u03b1\u03b9 embeddings \u03b3\u03b9\u03b1 \u03b4\u03b5\u03ba\u03ac\u03b4\u03b5\u03c2 residual terms \u03c3\u03b5 candidate set \u03bc\u03bf\u03bd\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf\u03c5 \u03ae \u03c7\u03b1\u03bc\u03b7\u03bb\u03bf\u03cd \u03b4\u03b9\u03c8\u03ae\u03c6\u03b9\u03bf\u03c5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2. \u0391\u03c5\u03c4\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc retrieval, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7 latency \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae.<\/p>\n<h2 id=\"semantic-absorption\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 semantic absorption<\/h2>\n<p>\u0397 exact-match \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03c3\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf B \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03c4\u03b1\u03af\u03c1\u03b9\u03b1\u03b6\u03b1\u03bd \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03bf\u03b9 \u03bc\u03b5 \u03c4\u03bf query. \u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 distractor \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c3\u03c5\u03bd\u03ce\u03bd\u03c5\u03bc\u03b1 \u03ae \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03bf\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c3\u03c4\u03bf B \u03b1\u03c1\u03ba\u03b5\u03c4\u03cc \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1 \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b7\u03b8\u03b5\u03af \u03c8\u03b7\u03bb\u03ac. \u0397 semantic absorption \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c3\u03c4\u03bf A \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03b1 query terms \u03c3\u03c4\u03bf embedding space.<\/p>\n<p>\u03a3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf corpus, \u03b7 exact-match \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b5\u03af\u03c7\u03b5 \u03b1\u03c3\u03c5\u03bd\u03b5\u03c0\u03ae \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac. \u0397 semantic \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ad\u03c6\u03b5\u03c1\u03b5 \u03c4\u03bf answer-bearing \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03ae \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03bf\u03ba\u03c4\u03ce \u03b8\u03ad\u03bc\u03b1\u03c4\u03b1. \u0397 \u03bc\u03ad\u03c3\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 2,88 \u03c3\u03c4\u03bf similarity baseline \u03c3\u03b5 1,25, \u03b5\u03bd\u03ce \u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b4\u03cd\u03bf keyword-stuffed distractors \u03b1\u03bd\u03ac \u03b8\u03ad\u03bc\u03b1 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 2,00 \u03c3\u03b5 4,50.<\/p>\n<p>\u03a4\u03bf hybrid score, \u03bc\u03b5 \u03af\u03c3\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c3\u03b5 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03bf similarity \u03ba\u03b1\u03b9 causal-attention score, \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03bc\u03ad\u03c3\u03b7 \u03b8\u03ad\u03c3\u03b7 1,38 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 runs \u03b4\u03b5\u03bd \u03ad\u03b2\u03b1\u03bb\u03b5 \u03c4\u03bf target \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf baseline. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03bd\u03c9\u03c3\u03b7 \u03c3\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd, \u03cc\u03c0\u03c9\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/hybrid-ai-search-papers-with-code\/\">hybrid AI search \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2, embeddings \u03ba\u03b1\u03b9 fallbacks<\/a>, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 fixed 50\/50 \u03b2\u03ac\u03c1\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd.<\/p>\n<h2 id=\"knowledge-base-471-eggrafa\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03c4\u03c9\u03bd 471 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd<\/h2>\n<p>\u03a4\u03bf deployment case study \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 471 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03b1\u03c1\u03c7\u03b5\u03af\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03bf\u03cd \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 2,95 GB: \u03bd\u03cc\u03bc\u03bf\u03c5\u03c2, \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2, \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2, \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b2\u03b9\u03b2\u03bb\u03af\u03b1 \u03ba\u03b1\u03b9 papers \u03c3\u03b5 Word \u03ba\u03b1\u03b9 PDF. \u03a4\u03b1 \u03b1\u03c1\u03c7\u03b5\u03af\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd, \u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 chunks 4.096 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03ae\u03c1\u03c9\u03bd \u03bc\u03b5 overlap 512 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 BGE-M3 \u03c3\u03b5 vectors 1.024 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c3\u03c5\u03bd\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2, \u03b7 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ad\u03ba\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c3\u03c4\u03bf top 3. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc failure \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf corpus. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae\u03c2: \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03bf case study, \u03b5\u03bd\u03ce \u03b7 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u03a4\u03bf \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03b5 knowledge managers. \u039a\u03b1\u03b8\u03ce\u03c2 \u03c3\u03c5\u03c3\u03c3\u03c9\u03c1\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 versions, policy notes, \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 manuals, \u03b7 \u03b8\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b3\u03b5\u03b9\u03c4\u03bd\u03af\u03b1\u03c3\u03b7 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9. \u0397 retrieval \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03cc\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u00ab\u03bc\u03b9\u03bb\u03ac \u03b3\u03b9\u03b1 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b8\u03ad\u03bc\u03b1\u00bb \u03b1\u03c0\u03cc \u03c4\u03bf \u00ab\u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b6\u03b7\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5\u00bb. \u03a4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/semantic-compression-trees-rag-context\/\">Semantic Compression Trees \u03b3\u03b9\u03b1 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf RAG context<\/a>, \u03bb\u03cd\u03bd\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c3\u03c9\u03c3\u03c4\u03bf\u03cd evidence.<\/p>\n<h2 id=\"diagnostic-keyword-stuffing\">\u03a4\u03bf diagnostic test \u03b3\u03b9\u03b1 keyword stuffing<\/h2>\n<p>\u0393\u03b9\u03b1 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc ground truth, \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03cd\u03b1\u03c3\u03b1\u03bd \u03bc\u03b9\u03ba\u03c1\u03cc \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03cc corpus \u03bf\u03ba\u03c4\u03ce \u03b8\u03b5\u03bc\u03ac\u03c4\u03c9\u03bd, \u03c0\u03ad\u03bd\u03c4\u03b5 \u03c3\u03c4\u03b1 \u03ba\u03b9\u03bd\u03b5\u03b6\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 \u03c3\u03c4\u03b1 \u03b1\u03b3\u03b3\u03bb\u03b9\u03ba\u03ac. \u039a\u03ac\u03b8\u03b5 \u03b8\u03ad\u03bc\u03b1 \u03b5\u03af\u03c7\u03b5 \u03ad\u03bd\u03b1 answer-bearing target, near-relevant \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03b4\u03cd\u03bf \u03c3\u03ba\u03cc\u03c0\u03b9\u03bc\u03b1 keyword-stuffed distractors \u03ba\u03b1\u03b9 \u03ac\u03c3\u03c7\u03b5\u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1. \u03a4\u03b1 \u03b8\u03ad\u03bc\u03b1\u03c4\u03b1 \u03ba\u03ac\u03bb\u03c5\u03c0\u03c4\u03b1\u03bd data-transfer security, \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03af\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c3\u03b9\u03b1\u03ba\u03ae\u03c2 \u03ba\u03b9\u03bd\u03b5\u03b6\u03b9\u03ba\u03ae\u03c2 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2, Wason selection task, \u03ba\u03b1\u03b8\u03b1\u03c1\u03b9\u03c3\u03bc\u03cc LLM pretraining data, privacy impact assessment, ColBERT \u03ba\u03b1\u03b9 SPLADE.<\/p>\n<p>\u039f BGE-reranker-v2-m3 cross-encoder \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03bf\u03c5 target \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc 2,88 \u03c3\u03b5 2,63 \u03ba\u03b1\u03b9 \u03ac\u03c6\u03b7\u03c3\u03b5 \u03c4\u03bf\u03c5\u03c2 distractors \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03b7\u03bd \u03ba\u03bf\u03c1\u03c5\u03c6\u03ae. \u0397 semantic causal \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 1,25. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03cd\u03b5\u03b9 \u03c4\u03bf\u03bd failure mode \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5, \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03c5\u03c0\u03b5\u03c1\u03ad\u03c7\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 retrieval workload.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u03a4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1<\/p>\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \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 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf corpus.<\/p>\n<\/div>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">471<\/span><span class=\"td-metric-label\">\u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c3\u03c4\u03bf enterprise case study<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2,88 \u2192 1,25<\/span><span class=\"td-metric-label\">mean target rank \u03c3\u03c4\u03bf diagnostic corpus<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2,00 \u2192 4,50<\/span><span class=\"td-metric-label\">mean distractor rank, \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf target<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">30<\/span><span class=\"td-metric-label\">probes \u03b3\u03b9\u03b1 \u226595% \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c3\u03c4\u03b1 BEIR tests<\/span><\/div>\n<\/div>\n<p class=\"td-chart-source\">\u03a0\u03b7\u03b3\u03ae: arXiv 2608.21702 v1, \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 2\u20134.<\/p>\n<\/div>\n<h2 id=\"beir-arnitika-apotelesmata\">\u03a4\u03b1 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b1 BEIR benchmarks \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u03a3\u03c4\u03b1 SciFact, NFCorpus \u03ba\u03b1\u03b9 ArguAna \u03c4\u03bf\u03c5 BEIR, \u03c4\u03bf causal score \u03c5\u03c0\u03bf\u03b1\u03c0\u03ad\u03b4\u03c9\u03c3\u03b5 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac. \u03a3\u03c4\u03bf SciFact, \u03c4\u03bf baseline \u03b5\u03af\u03c7\u03b5 nDCG@10 0,642, \u03bf cross-encoder 0,716 \u03ba\u03b1\u03b9 \u03c4\u03bf causal score 0,157. \u03a3\u03c4\u03bf NFCorpus \u03bf\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03ae\u03c4\u03b1\u03bd 0,317, 0,337 \u03ba\u03b1\u03b9 0,136. \u03a3\u03c4\u03bf ArguAna \u03ae\u03c4\u03b1\u03bd 0,398, 0,470 \u03ba\u03b1\u03b9 0,213.<\/p>\n<p>\u0397 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b7: \u03c3\u03b5 factoid-style corpora, \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03bf content vocabulary \u03c4\u03b7\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2. \u0391\u03bd \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03bb\u03b5\u03be\u03b9\u03bb\u03cc\u03b3\u03b9\u03bf \u03b1\u03c0\u03bf\u03c1\u03c1\u03bf\u03c6\u03b7\u03b8\u03b5\u03af \u03c3\u03c4\u03bf A, \u03c4\u03bf B \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03bf\u03cd\u03c2 \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 answer-bearing. \u03a4\u03bf score \u03c4\u03cc\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b8\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ac \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7.<\/p>\n<p>\u039f cross-encoder \u03ba\u03b1\u03b9 \u03c4\u03bf causal score \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03bf\u03af \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03ad\u03c2. \u039f \u03c0\u03c1\u03ce\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b7 soft semantic relevance \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf \u03c3\u03ae\u03bc\u03b1. \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03bc\u03bf\u03bb\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc repetition \u03ba\u03b1\u03b9 topic-near distractors. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf corpus regime \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bf \u03ba\u03b1\u03b8\u03ad\u03bd\u03b1\u03c2;\u00bb, \u03cc\u03c7\u03b9 \u00ab\u03c0\u03bf\u03b9\u03bf\u03c2 reranker \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac;\u00bb.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1:<\/strong> \u03c4\u03bf causal score \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03ba\u03bf\u03cd\u03b3\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b5\u03be\u03b5\u03bb\u03b9\u03b3\u03bc\u03ad\u03bd\u03bf. \u03a3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 benchmarks \u03ad\u03c7\u03b1\u03c3\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf similarity baseline, \u03b5\u03bd\u03ce \u03bf cross-encoder \u03ae\u03c4\u03b1\u03bd \u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1.<\/aside>\n<h2 id=\"calibration-gate\">\u03a4\u03bf calibration gate \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03bf\u03ba\u03af\u03bc\u03b1\u03c3\u03b1\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c6\u03b8\u03b7\u03bd\u03bf\u03cd\u03c2 per-query \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 top-10 candidates: keyword overlap, \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b2\u03ac\u03c1\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c1\u03c1\u03bf\u03c6\u03ac\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf A \u03ba\u03b1\u03b9 normalized gap \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 similarity scores. \u039a\u03b1\u03bd\u03ad\u03bd\u03b1\u03c2 \u03b4\u03b5\u03bd \u03be\u03b5\u03c7\u03ce\u03c1\u03b9\u03c3\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 \u03c4\u03bf keyword-stuffing \u03b1\u03c0\u03cc \u03c4\u03bf factoid regime. \u0397 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf keyword-driven ranking \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae relevance \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ae \u03c7\u03c9\u03c1\u03af\u03c2 labels.<\/p>\n<p>\u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 corpus-level offline calibration. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b5\u03af queries, \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc evidence \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ae \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 LLM \u03ba\u03c1\u03af\u03c3\u03b7, \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 baseline \u03ba\u03b1\u03b9 \u03bd\u03ad\u03bf ranking \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf reranker \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae. \u039c\u03b5 2.000 bootstrap draws, 30 probes \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd 95% \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c0\u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 BEIR datasets. \u03a3\u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc diagnostic corpus, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 probes \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd 100% \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03b1\u03c5\u03c4\u03ac \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u0394\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ce\u03bd\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 30 probes \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc. \u03a4\u03bf sample \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03af \u03c4\u03bf corpus \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac intents, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc recalibration. \u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf release gate \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf fallback, \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 one-off benchmark.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-title\">\u03a7\u03c9\u03c1\u03af\u03c2 labeled probes, \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf baseline<\/p>\n<p>\u03a4\u03bf causal RAG reranking \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 offline \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc corpus, \u03b1\u03bd\u03ac \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03ae use case. \u0391\u03bd \u03c4\u03bf confidence interval \u03b4\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 similarity \u03ae hybrid fallback \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<h2 id=\"kostos-idiotikotita-exartiseis\">\u039a\u03cc\u03c3\u03c4\u03bf\u03c2, \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u0397 reference \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03be\u03b1\u03bd\u03b1\u03c7\u03c4\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03bc\u03b5 Qwen3-4B \u03c9\u03c2 generator \u03ba\u03b1\u03b9 translation module \u03ba\u03b1\u03b9 BGE-M3 \u03b3\u03b9\u03b1 embeddings. \u03a0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 parsing Word\/PDF, cleaning, chunking, thresholded retrieval, \u03bc\u03b5\u03c4\u03ac\u03c6\u03c1\u03b1\u03c3\u03b7 chunks \u03ba\u03b1\u03b9 prompt generation. \u039f \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2 \u03c4\u03bf\u03c5 testbed \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03ac\u03c4\u03c9\u03bd \u03b4\u03b9\u03b1\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2.<\/p>\n<p>\u0397 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c4\u03b5\u03af\u03bb\u03bf\u03c5\u03bd \u03bd\u03bf\u03bc\u03b9\u03ba\u03ac, \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ae \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c3\u03b5 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b5\u03c2. \u0394\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 plug-and-play. \u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc keyword extractor, \u03b2\u03ac\u03c1\u03b7, absorption threshold, embedding model, chunking, candidate window \u03ba\u03b1\u03b9 \u03c4\u03c1\u03cc\u03c0\u03bf \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd \u03c4\u03c9\u03bd scores. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03bb\u03b7\u03c1\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf ablation \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd.<\/p>\n<p>\u03a4\u03bf retrieval pipeline \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b9\u03c7\u03bd\u03b7\u03bb\u03b1\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 <a href=\"https:\/\/twodots.gr\/schemarouter-ai-agents-field-aware-rag\/\">field-aware RAG \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5 schema routing<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 permissions \u03ba\u03b1\u03b9 \u03c4\u03bf scope \u03c4\u03b7\u03c2 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c4\u03bf ranking. \u0391\u03bd \u03bf agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03ae \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b7 \u03b5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf, \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf reranking \u03b4\u03b5\u03bd \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf governance gap.<\/p>\n<h2 id=\"epicheirimatiki-axia\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc RAG<\/h2>\n<p>\u0393\u03b9\u03b1 customer support, e-commerce operations, compliance \u03ba\u03b1\u03b9 internal search, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc chunk \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf prompt. Answer quality \u03c7\u03c9\u03c1\u03af\u03c2 retrieval trace \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03bf failure: \u03bc\u03b9\u03b1 \u03ba\u03b1\u03bb\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc prior knowledge \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03c6\u03b5\u03af\u03bb\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 evidence \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c3\u03c4\u03bf\u03bd generator.<\/p>\n<p>\u0397 observability \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 query, \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc rank, \u03bd\u03ad\u03bf rank, \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 A\/B, source IDs, evidence \u03c0\u03bf\u03c5 \u03bc\u03c0\u03ae\u03ba\u03b5 \u03c3\u03c4\u03bf prompt \u03ba\u03b1\u03b9 outcome \u03b1\u03c0\u03cc reviewer \u03ae downstream task. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae provenance \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b7 <a href=\"https:\/\/twodots.gr\/echo-mnimi-ai-agent-apodeixeis-provenance\/\">\u03bc\u03bd\u03ae\u03bc\u03b7 \u03b5\u03bd\u03cc\u03c2 AI agent \u03bc\u03b5 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2<\/a> \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b5\u03b4\u03ce: \u03c7\u03c9\u03c1\u03af\u03c2 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 claim \u03ba\u03b1\u03b9 \u03c0\u03b7\u03b3\u03ae, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1.<\/p>\n<p>\u03a4\u03bf operating model \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 owner, cadence \u03b5\u03c0\u03b1\u03bd\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 stop condition. \u039f\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c4\u03c9\u03bd <a href=\"https:\/\/twodots.gr\/enterprise-ai-harnesses-diakyvernisi-architektoniki\/\">enterprise AI harnesses<\/a> \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd <a href=\"https:\/\/twodots.gr\/airep-apodeiktiko-apofaseon-ai-runtime\/\">\u03b5\u03bb\u03b5\u03b3\u03ba\u03c4\u03b9\u03ba\u03ce\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03c9\u03bd \u03c3\u03b5 AI runtimes<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b1\u03c6\u03b5\u03af\u03c2: \u03c4\u03bf ranking change \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf artifact, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03cc\u03c1\u03b1\u03c4\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1.<\/p>\n<h2 id=\"epta-vimata-pilot\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot<\/h2>\n<p>\u0388\u03bd\u03b1 pilot \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc, \u03b1\u03bb\u03bb\u03ac \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc corpus \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac intents. \u03a4\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c7\u03b8\u03b5\u03af \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03cc\u03bd\u03c4\u03c9\u03c2 keyword-stuffing regime \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd evidence retrieval \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b2\u03bb\u03ac\u03c0\u03c4\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf retrieval failure \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf failure mode<\/strong>\n<p>\u03a3\u03c5\u03bb\u03bb\u03ad\u03be\u03c4\u03b5 queries \u03cc\u03c0\u03bf\u03c5 topic-near \u03ae keyword-heavy \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03b5\u03ba\u03c4\u03bf\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf answer-bearing evidence \u03b1\u03c0\u03cc \u03c4\u03bf prompt.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc probe set<\/strong>\n<p>\u0394\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac intents \u03b1\u03bd\u03ac \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae, \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03ba\u03b1\u03b9 \u03c1\u03cc\u03bb\u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b5\u03cd\u03ba\u03bf\u03bb\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c0\u03af\u03b4\u03b5\u03b9\u03be\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 relevance labels<\/strong>\n<p>\u0396\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03cc domain reviewers \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03ae chunk \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 similarity baseline, \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd cross-encoder, causal score \u03ba\u03b1\u03b9 hybrid \u03bc\u03b5 MRR \u03ae nDCG \u03ba\u03b1\u03b9 \u03bc\u03b5 evidence-in-prompt success.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0392\u03ac\u03bb\u03c4\u03b5 corpus-level gate<\/strong>\n<p>\u0395\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03bd\u03ad\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c4\u03bf uncertainty \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc \u03cc\u03c1\u03b9\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 fallback \u03ba\u03b1\u03b9 traces<\/strong>\n<p>\u0391\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03c3\u03c4\u03b5 ranks, A\/B diagnostics \u03ba\u03b1\u03b9 source IDs \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03c3\u03c4\u03bf baseline \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf B \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b5\u03bd\u03cc, \u03b1\u03c3\u03c4\u03b1\u03b8\u03ad\u03c2 \u03ae \u03b5\u03ba\u03c4\u03cc\u03c2 calibrated scope.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u0395\u03c0\u03b1\u03bd\u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf corpus<\/strong>\n<p>\u039d\u03ad\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03bd\u03ad\u03b5\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03ad\u03b1 intents \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf regime\u00b7 \u03c0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03af\u03c3\u03c4\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ac probes \u03ba\u03b1\u03b9 rollback criteria.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf NIST AI RMF \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b5\u03af \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae \u03ba\u03cd\u03ba\u03bb\u03bf Govern, Map, Measure \u03ba\u03b1\u03b9 Manage. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 RAG \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 documented scope, testing \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc deployment, monitoring \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03cc\u03c4\u03b5 \u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af.<\/p>\n<h2 id=\"periorismoi-symperasma\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 preprint 16 \u03c3\u03b5\u03bb\u03af\u03b4\u03c9\u03bd, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 v1 \u03c4\u03b7\u03c2 22\u03b1\u03c2 \u0391\u03c5\u03b3\u03bf\u03cd\u03c3\u03c4\u03bf\u03c5 2026. \u03a4\u03bf enterprise corpus \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03cc. \u03a4\u03bf calibration result \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 bootstrap \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 scores, \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03c5\u03ac\u03c1\u03b9\u03b8\u03bc\u03b5\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 keyword extraction \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf residual vocabulary B \u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf answer-bearing \u03c3\u03ae\u03bc\u03b1. \u03a3\u03b5 factoid corpora \u03b1\u03c5\u03c4\u03ae \u03b7 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b5. \u0397 \u03c3\u03c5\u03bd\u03ad\u03bd\u03c9\u03c3\u03b7 \u03bc\u03b5 similarity, \u03c4\u03b1 thresholds \u03ba\u03b1\u03b9 \u03c4\u03bf routing \u03b1\u03bd\u03ac collection \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b1\u03bd\u03bf\u03b9\u03ba\u03c4\u03ad\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 domain-specific validation.<\/p>\n<p>\u03a4\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03ac \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03bf. \u03a4\u03bf causal RAG reranking \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ae \u03b3\u03bd\u03ce\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 documents \u03ba\u03b1\u03b9 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 false positives \u03b3\u03b5\u03bc\u03ac\u03c4\u03b1 query terms. \u0391\u03be\u03af\u03b6\u03b5\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd labeled probes \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf corpus. \u0397 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 retrieval \u03ba\u03b1\u03b9\u03bd\u03bf\u03c4\u03bf\u03bc\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 ranking\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c0\u03bf\u03c5 \u03be\u03ad\u03c1\u03b5\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf baseline.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">RAG \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 evidence<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 AI \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03be\u03ad\u03c1\u03b5\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf baseline<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2, AI assistants \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03b5 retrieval evaluation, permissions, monitoring, \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae fallbacks \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 AI<\/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\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf causal RAG reranking \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 training-free \u03b5\u03c0\u03b1\u03bd\u03b1\u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ae\u03b4\u03b7 \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03bc\u03ad\u03bd\u03bf\u03c5 candidate set \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03bf residual vocabulary \u03b5\u03bd\u03cc\u03c2 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5, \u03b1\u03c6\u03bf\u03cd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03b8\u03bf\u03cd\u03bd \u03bf\u03b9 \u03cc\u03c1\u03bf\u03b9 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03ba\u03c4\u03b9\u03bc\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc causal effect;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd causal \u03b3\u03c1\u03ac\u03c6\u03bf \u03c9\u03c2 \u03b4\u03bf\u03bc\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 motivational \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf. \u03a4\u03bf score \u03b5\u03af\u03bd\u03b1\u03b9 heuristic \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c4\u03b1\u03c5\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03bf causal estimand.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c4\u03b5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03bf\u03b7\u03b8\u03ae\u03c3\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc corpus \u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac topic-near \u03ae keyword-heavy \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b5\u03b2\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c8\u03b7\u03bb\u03ac \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03bf answer-bearing evidence.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a5\u03c0\u03bf\u03b1\u03c0\u03ad\u03b4\u03c9\u03c3\u03b5 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03c4\u03bf similarity baseline \u03c3\u03c4\u03b1 SciFact, NFCorpus \u03ba\u03b1\u03b9 ArguAna, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03ba\u03bf\u03b9\u03bd\u03ae \u03bf\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 query \u03ba\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03bf\u03cd \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf relevance signal.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03bd\u03ad\u03bf LLM call \u03c3\u03c4\u03bf query time;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c1\u03bf\u03ae. \u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 keyword extraction \u03ba\u03b1\u03b9 embedding\/scoring \u03c4\u03c9\u03bd residual terms \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03ae\u03b4\u03b7 \u03bc\u03b9\u03ba\u03c1\u03cc candidate set.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 semantic absorption;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03c3\u03c5\u03bd\u03ce\u03bd\u03c5\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c4\u03c9\u03bd distractors \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf B. \u0397 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03c1\u03c1\u03cc\u03c6\u03b7\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c3\u03c4\u03bf A.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03ce\u03c2 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b1\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03bf \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac labeled probes, \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 baseline \u03ba\u03b1\u03b9 \u03bd\u03ad\u03bf\u03c5 ranking \u03ba\u03b1\u03b9 corpus-level gate \u03c0\u03bf\u03c5 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03bf corpus;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03b5\u03af\u03bd\u03b5\u03b9 \u03b5\u03bd\u03b5\u03c1\u03b3\u03cc \u03c4\u03bf similarity baseline \u03ae \u03ad\u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf hybrid fallback \u03bc\u03ad\u03c7\u03c1\u03b9 offline calibration \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc corpus \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21702\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 From Association to Causation: Improving Retrieval Precision of RAG<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/Silk-Road\/causal-rag-rerank\" target=\"_blank\" rel=\"noopener\">GitHub \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 causal-rag-rerank<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2104.08663\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 BEIR: A Heterogeneous Benchmark for Information Retrieval<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2402.03216\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 BGE M3-Embedding<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework Core<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf causal RAG reranking \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 answer-bearing evidence \u03b1\u03c0\u03cc keyword-stuffed \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 calibration \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03b5 factoid corpora.<\/p>","protected":false},"author":1,"featured_media":104939,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[18399,8768,9225,8233,20702],"class_list":["post-97881","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-causal-ai","tag-enterprise-ai","tag-llm","tag-rag","tag-retrieval"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97881","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=97881"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97881\/revisions"}],"predecessor-version":[{"id":104940,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97881\/revisions\/104940"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/104939"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=97881"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=97881"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=97881"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}