{"id":88865,"date":"2026-08-14T15:48:05","date_gmt":"2026-08-14T12:48:05","guid":{"rendered":"https:\/\/twodots.gr\/?p=88865"},"modified":"2026-08-14T15:48:01","modified_gmt":"2026-08-14T12:48:01","slug":"multimodal-anazitisi-eikonon-embeddings-frontier-llms","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/multimodal-anazitisi-eikonon-embeddings-frontier-llms\/","title":{"rendered":"Multimodal \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd: \u03c0\u03cc\u03c4\u03b5 \u03c4\u03b1 embeddings \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 frontier LLMs"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae, \u03c4\u03b1 multimodal embeddings \u03b4\u03b5\u03bd \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd \u03c4\u03b1 frontier LLMs \u03c3\u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u00b7 \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c3\u03c4\u03bf online latency \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf precomputation. \u03a4\u03bf Gemini Embedding 2, \u03c4\u03bf GPT-4.1 \u03ba\u03b1\u03b9 \u03c4\u03bf Claude Sonnet 4.6 \u03b5\u03af\u03c7\u03b1\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf embedding ranking \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b5 1.000 queries \u03c3\u03b5 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03b4\u03cd\u03bf \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03b1, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c7\u03b9\u03bb\u03b9\u03ac\u03b4\u03c9\u03bd \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03bf\u03bb\u03ad\u03c0\u03c4\u03c9\u03bd \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 LLM rankers.<\/strong><\/p>\n<p>\u0393\u03b9\u03b1 e-commerce catalogs, media libraries \u03ba\u03b1\u03b9 digital asset management, \u03c4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ad\u03be\u03c5\u03c0\u03bd\u03bf;\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf \u03ba\u03b1\u03b9 \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03b5\u03af \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03cc\u03b3\u03ba\u03bf \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc latency \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2. \u0397 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03bc\u03b5 embeddings \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#dyo-architektonikes\">\u0394\u03cd\u03bf \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf<\/a><\/li>\n<li><a href=\"#hard-negatives-benchmark\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf benchmark \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af hard negatives<\/a><\/li>\n<li><a href=\"#metrics-methodology\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5<\/a><\/li>\n<li><a href=\"#akribeia-apotelesmata\">\u0397 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ad\u03c6\u03b5\u03c1\u03b5 \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u03ba\u03bf\u03c1\u03c5\u03c6\u03ae<\/a><\/li>\n<li><a href=\"#precomputation-latency\">\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf precomputation<\/a><\/li>\n<li><a href=\"#ecommerce-content-platforms\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 e-commerce \u03ba\u03b1\u03b9 content platforms<\/a><\/li>\n<li><a href=\"#pote-llm-ranker\">\u03a0\u03cc\u03c4\u03b5 \u03ad\u03c7\u03b5\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1 \u03ad\u03bd\u03b1\u03c2 LLM ranker<\/a><\/li>\n<li><a href=\"#periorismoi-benchmark\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c4\u03bf\u03c5 benchmark<\/a><\/li>\n<li><a href=\"#plaisio-apofasis\">\u03a0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#axiologisi-dika-sas-dedomena\">\u0391\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"dyo-architektonikes\">\u0394\u03cd\u03bf \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf<\/h2>\n<p>\u03a3\u03c4\u03bf text-to-image retrieval, \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c0\u03bf\u03c5 \u03b8\u03ad\u03bb\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c4\u03ac\u03c3\u03c3\u03b5\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03ac\u03c6\u03b5\u03b9\u03b1. \u0397 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 dual encoders, \u03bc\u03b5 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03c4\u03bf CLIP, \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5\u03c2. \u03a4\u03b1 \u03bd\u03b5\u03cc\u03c4\u03b5\u03c1\u03b1 natively multimodal embedding models, \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf Gemini Embedding 2 \u03ba\u03b1\u03b9 \u03c4\u03bf Amazon Nova Multimodal Embeddings, \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc \u03b4\u03b9\u03b1\u03bd\u03c5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c7\u03ce\u03c1\u03bf.<\/p>\n<p>\u03a3\u03b5 \u03bc\u03b9\u03b1 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, \u03c4\u03b1 embeddings \u03c4\u03c9\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 index. \u03a4\u03bf query \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c3\u03b5 vector \u03ba\u03b1\u03b9 \u03c4\u03bf online \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2 \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2. \u0397 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 Google \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf Gemini Embedding 2 \u03b3\u03b9\u03b1 cross-modal semantic search \u03ba\u03b1\u03b9 scalable similarity calculations, \u03b5\u03bd\u03ce \u03b7 AWS \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c7\u03ce\u03c1\u03bf \u03b3\u03b9\u03b1 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1, \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf, video \u03ba\u03b1\u03b9 audio.<\/p>\n<p>\u0397 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 paper \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 frontier LLM ranker. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b1\u03b6\u03af \u03c4\u03bf query \u03ba\u03b1\u03b9 25 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7\u03c2. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf\u03c5\u03c2 candidates, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03bf index: \u03ba\u03ac\u03b8\u03b5 \u03bd\u03ad\u03bf query \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03b5\u03af \u03bd\u03ad\u03b1 end-to-end \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03cc\u03c3\u03bf \u03c4\u03bf serving \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf cost model \u03b5\u03bd\u03cc\u03c2 <a href=\"https:\/\/twodots.gr\/agentic-commerce-seo-ai-agents\/\">AI-ready e-commerce<\/a>.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">Embeddings \u03ba\u03b1\u03b9 LLM ranking \u03bb\u03cd\u03bd\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf online \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--four\">\n<div class=\"td-platform-card\">\n<h3>Index<\/h3>\n<p>\u03a4\u03b1 embeddings \u03b5\u03c0\u03b5\u03bd\u03b4\u03cd\u03bf\u03c5\u03bd \u03b5\u03ba \u03c4\u03c9\u03bd \u03c0\u03c1\u03bf\u03c4\u03ad\u03c1\u03c9\u03bd \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 catalog \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 vectors \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Online query<\/h3>\n<p>\u03a4\u03bf embedding search \u03ba\u03ac\u03bd\u03b5\u03b9 similarity retrieval. \u039f LLM ranker \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b1\u03bd\u03ac query \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03bb\u03ae\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>\u03a3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/h3>\n<p>\u03a4\u03b1 embeddings \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03ba\u03ac\u03b8\u03b5 \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1. \u039f LLM \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 25 candidates \u03bc\u03b1\u03b6\u03af \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Escalation<\/h3>\n<p>\u039f vector index \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf, \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc corpus. \u03a4\u03bf full-context ranking \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf candidate set, latency \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"hard-negatives-benchmark\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf benchmark \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af hard negatives<\/h2>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 Archan Dutta \u03ba\u03b1\u03b9 Vyanktesh Kanungo \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03bf Flickr30k, dataset \u03bc\u03b5 31.000 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03bb\u03b5\u03b6\u03ac\u03bd\u03c4\u03b5\u03c2 \u03b1\u03bd\u03ac \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u0391\u03c0\u03cc \u03c4\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b4\u03b7\u03bc\u03b9\u03bf\u03cd\u03c1\u03b3\u03b7\u03c3\u03b1\u03bd pool 5.000 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd. \u0393\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03cd\u03c6\u03bf\u03c5\u03c2 \u03ba\u03ac\u03b8\u03b5 annotator, \u03c7\u03ce\u03c1\u03b9\u03c3\u03b1\u03bd \u03c4\u03bf pool \u03c3\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c4\u03c9\u03bd 1.000 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ad\u03b8\u03b5\u03c3\u03b1\u03bd \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc caption index.<\/p>\n<p>\u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 query \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03cd\u03b1\u03c3\u03b1\u03bd candidate set 25 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd: \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03ba\u03b1\u03b9 24 hard negatives. \u039f\u03b9 distractors \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03c4\u03c5\u03c7\u03b1\u03af\u03bf\u03b9. \u039f\u03b9 5.000 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bb\u03b5\u03b6\u03ac\u03bd\u03c4\u03b5\u03c2 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 \u03c4\u03bf \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf all-mpnet-base-v2, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1\u03c2 cosine similarity 5.000 \u00d7 5.000 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03ad\u03c7\u03b8\u03b7\u03ba\u03b1\u03bd \u03bf\u03b9 24 \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03bb\u03b5\u03b6\u03ac\u03bd\u03c4\u03b5\u03c2 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5\u03c2. \u0388\u03c4\u03c3\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b5\u03af\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2, \u03cc\u03c7\u03b9 \u03c0\u03c1\u03bf\u03c6\u03b1\u03bd\u03ce\u03c2 \u03ac\u03c3\u03c7\u03b5\u03c4\u03b1 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u0397 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03ad\u03bd\u03bd\u03bf\u03b9\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1\u03c2. \u039f\u03b9 \u03af\u03b4\u03b9\u03bf\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae negatives \u03c3\u03c4\u03bf\u03bd \u03c7\u03ce\u03c1\u03bf \u03c4\u03c9\u03bd captions \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c5\u03bd\u03bf\u03b5\u03af \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2 dense retrieval. \u03a4\u03bf benchmark \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03b1\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 ranking \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc leaderboard \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"metrics-methodology\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5<\/h2>\n<p>\u0397 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03b5 1.000 queries. \u03a4\u03bf Recall@1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b7. \u03a4\u03bf Recall@3 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c4\u03c1\u03b9\u03ac\u03b4\u03b1. \u03a4\u03bf Mean Reciprocal Rank \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03cc\u03c3\u03bf \u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7.<\/p>\n<p>\u03a4\u03bf paper \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03ad\u03c3\u03c9\u03bd \u03cc\u03c1\u03c9\u03bd. \u03a5\u03c0\u03bf\u03bb\u03cc\u03b3\u03b9\u03c3\u03b5 95% bootstrap confidence intervals \u03bc\u03b5 1.000 resamples. \u0393\u03b9\u03b1 \u03c4\u03bf Recall@1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 McNemar test \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf MRR Wilcoxon signed-rank test, \u03bc\u03b5 \u03b1=0,05 \u03ba\u03b1\u03b9 Bonferroni correction \u03b3\u03b9\u03b1 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03c9\u03bd. \u0391\u03c5\u03c4\u03cc \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u00ab\u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03c0\u03ac\u03c1\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae\u03c2\u00bb, \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b5\u03ba\u03c4\u03b1\u03b8\u03b5\u03af \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 offline \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2. \u03a4\u03bf evaluation \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 end-to-end latency, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac query, \u03c1\u03c5\u03b8\u03bc\u03cc \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7\u03c2 index, failure categories \u03ba\u03b1\u03b9 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03c0\u03c4\u03c9\u03c3\u03b7. \u0397 <a href=\"https:\/\/twodots.gr\/ai-search-analytics-tools-odigos\/\">\u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 AI search<\/a> \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ac signals \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c9\u03bb\u03ae\u03c3\u03b5\u03c9\u03bd.<\/p>\n<h2 id=\"akribeia-apotelesmata\">\u0397 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ad\u03c6\u03b5\u03c1\u03b5 \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u03ba\u03bf\u03c1\u03c5\u03c6\u03ae<\/h2>\n<p>\u03a4\u03bf Gemini Embedding 2 \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c4\u03b7\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2. \u03a3\u03c4\u03bf Recall@1 \u03b5\u03af\u03c7\u03b5 0,804, \u03c4\u03bf Claude Sonnet 4.6 \u03b5\u03af\u03c7\u03b5 0,796 \u03ba\u03b1\u03b9 \u03c4\u03bf GPT-4.1 \u03b5\u03af\u03c7\u03b5 0,789. \u03a9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2: \u03c4\u03b1 p-values \u03c4\u03bf\u03c5 Recall@1 \u03ae\u03c4\u03b1\u03bd 0,2699, 0,5569 \u03ba\u03b1\u03b9 0,5854, \u03b5\u03bd\u03ce \u03b3\u03b9\u03b1 \u03c4\u03bf MRR \u03ae\u03c4\u03b1\u03bd 0,1574, 0,0995 \u03ba\u03b1\u03b9 0,9354.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<p class=\"td-chart-title\">Recall@1 \u03c3\u03b5 1.000 queries \u03bc\u03b5 25 hard-negative candidates<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 benchmark. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c3\u03b5 product catalog \u03ae \u03ac\u03bb\u03bb\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae.<\/p>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">80,4%<\/div>\n<div class=\"td-metric-label\">Gemini Embedding 2<\/div>\n<p>\u03a5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03c4\u03b9\u03bc\u03ae, \u03c7\u03c9\u03c1\u03af\u03c2 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03b4\u03cd\u03bf frontier LLM rankers.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">79,6%<\/div>\n<div class=\"td-metric-label\">Claude Sonnet 4.6<\/div>\n<p>\u03a0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 Recall@1 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b5\u03af\u03b4\u03b5 \u03bc\u03b1\u03b6\u03af query \u03ba\u03b1\u03b9 25 \u03c4\u03c5\u03c7\u03b1\u03b9\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 candidates.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">78,9%<\/div>\n<div class=\"td-metric-label\">GPT-4.1<\/div>\n<p>\u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03b1\u03c0\u03cc Gemini Embedding 2 \u03ba\u03b1\u03b9 Claude Sonnet 4.6.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">67,3%<\/div>\n<div class=\"td-metric-label\">Amazon Nova 2<\/div>\n<p>\u03a7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bc\u03b5 \u03c4\u03b7 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 purpose \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03bf Amazon Nova 2 \u03c5\u03c3\u03c4\u03ad\u03c1\u03b7\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac 13,1 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03bf Recall@1 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 Gemini Embedding 2 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ad\u03c6\u03b5\u03c1\u03b5 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03ac\u03bb\u03bb\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b5 p&lt;0,0001. \u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc scope: \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd `GENERIC_INDEX`, \u03b5\u03bd\u03ce \u03b7 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 AWS \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 `IMAGE_RETRIEVAL` \u03b3\u03b9\u03b1 query embeddings \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03bf\u03cd\u03bd \u03c3\u03b5 repository \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7\u03c2 Nova.<\/p>\n<h2 id=\"precomputation-latency\">\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf precomputation<\/h2>\n<p>\u03a4\u03b1 embedding systems \u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 representations. \u03a3\u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03c4\u03bf Gemini Embedding 2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 2.000 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03b1 \u03b3\u03b9\u03b1 query embeddings \u03ba\u03b1\u03b9 12.500 \u03b3\u03b9\u03b1 image embeddings, \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 14.500. \u03a4\u03bf Nova 2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 1.800 \u03ba\u03b1\u03b9 10.000 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03b1, \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac 11.800. \u03a4\u03b1 image embeddings \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd 5.000 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03bf\u03cd\u03bd.<\/p>\n<p>\u039c\u03b5 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b1 embeddings, \u03c4\u03bf ranking \u03c4\u03c9\u03bd 1.000 queries \u03c0\u03ae\u03c1\u03b5 0,66 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03b1 \u03c3\u03c4\u03bf Gemini Embedding 2 \u03ba\u03b1\u03b9 1,16 \u03c3\u03c4\u03bf Nova 2. \u03a4\u03b1 GPT-4.1 \u03ba\u03b1\u03b9 Claude Sonnet 4.6 \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd 6.100 \u03ba\u03b1\u03b9 9.415 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03c3\u03b1\u03bd \u03bc\u03b5 end-to-end API calls \u03b1\u03bd\u03ac query. \u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b5\u03b3\u03b3\u03c5\u03b7\u03bc\u03ad\u03bd\u03bf production SLA, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf offline indexing \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c1\u03b9\u03b6\u03b9\u03ba\u03ac \u03c4\u03bf online serving.<\/p>\n<div class=\"td-article-note\"><strong>\u03a4\u03bf latency \u03c4\u03bf\u03c5 paper \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf business case.<\/strong> \u0393\u03b9\u03b1 \u03c3\u03c9\u03c3\u03c4\u03cc cost model, \u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf offline indexing \u03b1\u03c0\u03cc \u03c4\u03bf online query, \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03c4\u03b5 updates \u03bd\u03ad\u03c9\u03bd \u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 cache, vector database, filters, reranking \u03ba\u03b1\u03b9 network overhead. \u039c\u03cc\u03bd\u03bf \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9 \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03ad\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7.<\/div>\n<h2 id=\"ecommerce-content-platforms\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 e-commerce \u03ba\u03b1\u03b9 content platforms<\/h2>\n<p>\u0393\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03ba\u03b1\u03c4\u03ac\u03bb\u03bf\u03b3\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd, \u03c6\u03c9\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ce\u03bd \u03ae digital assets, \u03c4\u03b1 precomputed embeddings \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03c0\u03c1\u03bf\u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03bf\u03c5 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7. \u0395\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc online latency \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03c0\u03c1\u03bf\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0388\u03bd\u03b1 e-shop \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03ad\u03c4\u03c3\u03b9 \u03bd\u03b1 \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03c4\u03b5\u03af query \u03cc\u03c0\u03c9\u03c2 \u00ab\u03bc\u03c0\u03b5\u03b6 \u03c0\u03b1\u03c0\u03bf\u03cd\u03c4\u03c3\u03b9 \u03b3\u03b9\u03b1 \u03ba\u03b1\u03b8\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03cc \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bd\u03c4\u03cd\u03c3\u03b9\u03bc\u03bf\u00bb \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 catalog \u03c3\u03b5 LLM \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd e-commerce \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2. \u03a4\u03bf benchmark \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 25 candidates \u03b1\u03bd\u03ac query. \u039c\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae <a href=\"https:\/\/twodots.gr\/ergaleia-technitis-noimosynis-gia-michanikoys\/\">\u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae embeddings \u03ba\u03b1\u03b9 vector search<\/a> \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 retrieval \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf index, product attributes, availability, \u03c4\u03b9\u03bc\u03ae, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2 assets \u03ba\u03b1\u03b9 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03cc reranking.<\/p>\n<p>\u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd product data \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7. \u0391\u03bd \u03c7\u03c1\u03ce\u03bc\u03b1, \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae, \u03c5\u03bb\u03b9\u03ba\u03cc \u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03bb\u03b5\u03af\u03c0\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf catalog, \u03c4\u03bf visual model \u03af\u03c3\u03c9\u03c2 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03ae \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c6\u03af\u03bb\u03c4\u03c1\u03b1 \u03ae \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2. \u0397 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae, \u03c3\u03c5\u03bd\u03b5\u03c0\u03ae\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b7 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03ad\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/i-google-parousiazei-to-open-knowledge-format-gia-praktores-technitis-noimosynis\/\">AI-readable e-commerce<\/a> \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf image retrieval\u00b7 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03af\u03c3\u03c4\u03b1\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03cc.<\/p>\n<h2 id=\"pote-llm-ranker\">\u03a0\u03cc\u03c4\u03b5 \u03ad\u03c7\u03b5\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1 \u03ad\u03bd\u03b1\u03c2 LLM ranker<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03cc\u03c4\u03b5\u03c1\u03bf\u03c2 \u03bf LLM ranker \u03cc\u03c4\u03b1\u03bd \u03b7 gallery \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ae \u03ae \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf precomputation \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03c0\u03bf\u03c3\u03b2\u03ad\u03bd\u03b5\u03c4\u03b1\u03b9. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 25 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03cc reasoning \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03bb\u03b5\u03c0\u03c4\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c4\u03c9\u03bd \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd. \u03a4\u03bf embedding model \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03ba\u03ac\u03b8\u03b5 query-image pair \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u039c\u03b9\u03b1 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ae: embeddings \u03b3\u03b9\u03b1 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf retrieval \u03bc\u03b9\u03ba\u03c1\u03bf\u03cd candidate set \u03ba\u03b1\u03b9 LLM reranking \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 queries \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03b1\u03be\u03af\u03b1. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf pipeline, \u03ac\u03c1\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 A\/B test \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac queries, guardrails \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 fallback \u03cc\u03c4\u03b1\u03bd \u03bf reranker \u03b1\u03c1\u03b3\u03b5\u03af \u03ae \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9.<\/p>\n<div class=\"td-decision-band\">\n<p><strong>Rule of thumb:<\/strong> \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03c4\u03b5 \u03bc\u03b5 embedding retrieval \u03cc\u03c4\u03b1\u03bd \u03ad\u03c7\u03b5\u03c4\u03b5 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf corpus, \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 queries \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc latency. \u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf LLM reranking \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 candidates \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03af\u03b3\u03bf\u03b9, \u03bf\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2. \u0393\u03b9\u03b1 catalog \u03bc\u03b5 \u03c5\u03c8\u03b7\u03bb\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03c4\u03bf\u03bd \u03c1\u03c5\u03b8\u03bc\u03cc re-indexing.<\/p>\n<\/div>\n<h2 id=\"periorismoi-benchmark\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c4\u03bf\u03c5 benchmark<\/h2>\n<p>\u03a4\u03bf ground truth \u03c4\u03bf\u03c5 Flickr30k \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bc\u03c6\u03af\u03c3\u03b7\u03bc\u03bf. \u039c\u03af\u03b1 \u03bb\u03b5\u03b6\u03ac\u03bd\u03c4\u03b1 \u03b5\u03bd\u03b4\u03ad\u03c7\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 distractors \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bb\u03cc\u03b3\u03c9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u039f\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 paper \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03bc\u03ac\u03bb\u03b9\u03c3\u03c4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd \u03c4\u03c5\u03c0\u03b9\u03ba\u03ac \u03bb\u03ac\u03b8\u03bf\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b1 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03c4\u03ae.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 inference \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03af\u03b4\u03b9\u03b5\u03c2. \u03a4\u03b1 LLMs \u03ad\u03b2\u03bb\u03b5\u03c0\u03b1\u03bd \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 candidates \u03bc\u03b1\u03b6\u03af \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03c4\u03c5\u03c7\u03b1\u03b9\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03bd \u03b1\u03bd\u03ac query, \u03b5\u03bd\u03ce \u03c4\u03b1 embeddings \u03b4\u03bf\u03cd\u03bb\u03b5\u03c5\u03b1\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1. \u039a\u03b1\u03b9 \u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ae\u03c4\u03b1\u03bd \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 \u03bc\u03ad\u03c3\u03c9 \u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03ad\u03bd\u03c9\u03bd APIs, \u03c4\u03c9\u03bd \u03bf\u03c0\u03bf\u03af\u03c9\u03bd \u03c4\u03b1 weights \u03ae serving stacks \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1. \u0391\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c3\u03c4\u03bf prompt \u03ae \u03c3\u03b5 batching \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bf\u03c5\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, \u03c4\u03b1 25-image candidate sets \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd ranking \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 full-gallery retrieval. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 ANN index quality, filters, deduplication, cold starts, updates, authorization, monitoring \u03ae conversion impact. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc product search project, \u03b1\u03c5\u03c4\u03ac \u03c4\u03b1 layers \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03bb\u03cd\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/kataskevi-istoselidon\/\">\u03b9\u03c3\u03c4\u03bf\u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03ae web \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae<\/a> \u03c0\u03bf\u03c5 \u03c4\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9.<\/p>\n<h2 id=\"plaisio-apofasis\">\u03a0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2<\/h2>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc vendor \u03ae \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc demo. \u039e\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc operating profile: \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c1\u03c5\u03b8\u03bc\u03cc\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 \u03c4\u03bf\u03c5 corpus, \u03cc\u03b3\u03ba\u03bf\u03c2 queries, \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc latency, \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf budget, \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03bf\u03cd reasoning \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 owner \u03b3\u03b9\u03b1 \u03c4\u03bf relevance, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc owner \u03b3\u03b9\u03b1 \u03c4\u03bf API.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0388\u03be\u03b9 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 pilot multimodal \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03cc query set<\/strong>\n<p>\u03a3\u03c5\u03bb\u03bb\u03ad\u03be\u03c4\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b5\u03bb\u03b1\u03c4\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03c3\u03b5 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7, \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2, \u03c0\u03b5\u03c1\u03af\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03c3\u03c4\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf ground truth<\/strong>\n<p>\u0396\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03ba\u03b1\u03c4\u03ac\u03bb\u03bf\u03b3\u03bf \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03c3\u03c9\u03c3\u03c4\u03ac \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03bf \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc match.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 embedding baseline<\/strong>\n<p>\u0394\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 index \u03bc\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac task types \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 Recall@k, MRR, offline indexing time \u03ba\u03b1\u03b9 online retrieval latency.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 catalog<\/strong>\n<p>\u0395\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03c4\u03b5 category, stock, price, variant \u03ba\u03b1\u03b9 permission filters \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ac\u03c6\u03b5\u03b9\u03b1 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03bc\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03ae \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 reranking \u03bc\u03cc\u03bd\u03bf \u03cc\u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9<\/strong>\n<p>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd LLM \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03cc candidate set \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af latency \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 failures \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2<\/strong>\n<p>\u039a\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03bb\u03ac\u03b8\u03b7, \u03bf\u03c1\u03af\u03c3\u03c4\u03b5 re-indexing SLA \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03c4\u03bf evaluation \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, prompt, catalog \u03ae business rules.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"axiologisi-dika-sas-dedomena\">\u0391\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/h2>\n<p>\u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03b1\u03b3\u03bf\u03c1\u03ac \u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc test set \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac queries \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03b4\u03b9\u03ba\u03bf\u03cd \u03c3\u03b1\u03c2 catalog. \u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c4\u03bf candidate set \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf Recall@1 \u03ae MRR, \u03b1\u03bb\u03bb\u03ac end-to-end latency, \u03c7\u03c1\u03cc\u03bd\u03bf \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7\u03c2 index, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac 1.000 queries \u03ba\u03b1\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc queries \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 fallback \u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7.<\/p>\n<p>\u0397 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03b9\u03ce\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae. \u0386\u03bb\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03b5\u03c1\u03b4\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03cd\u03bf \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03af\u03b4\u03b9\u03b5\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03bf \u03bd\u03b1 \u03b1\u03b3\u03bd\u03bf\u03b5\u03af\u03c4\u03b1\u03b9 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03b3\u03bf\u03c1\u03ac. \u0393\u03b9\u03b1 fashion \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ce\u03bc\u03b1, \u03cd\u03c6\u03b1\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03af\u03c3\u03c4\u03b1\u03c3\u03b7\u00b7 \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ac \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03ce\u03bd, \u03b8\u03cd\u03c1\u03b5\u03c2, form factor \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae <a href=\"https:\/\/twodots.gr\/veltistopoiisi-periechomenou-me-techniti-noimosyni-gia-anazitiseis\/\">\u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b5 AI<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2.<\/p>\n<p>\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 benchmark \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf: \u03c3\u03b5 1.000 Flickr30k queries \u03bc\u03b5 25 hard negatives, \u03ad\u03bd\u03b1 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf multimodal embedding model \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd \u03b4\u03cd\u03bf frontier LLM rankers \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03c6\u03b5\u03c1\u03b5 \u03b4\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03bf ranking \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf indexing. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 embeddings \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b1, \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac catalogs, \u03b7 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 retrieval \u03bc\u03b5 precomputation \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf full-context LLM ranking.<\/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 benchmark \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf search pilot<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 multimodal retrieval \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 \u03ba\u03b1\u03b9 queries<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af catalog data, relevance criteria, embedding index, business filters, latency budgets \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf reranking, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03b8\u03b5\u03af \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03bf\u03ae \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf demo.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">Check out Business Automation &amp; 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 multimodal embedding;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03bc\u03ad\u03c3\u03c9\u03bd, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1, \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c7\u03ce\u03c1\u03bf \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03c3\u03c5\u03bd\u03ac\u03c6\u03b5\u03b9\u03ac \u03c4\u03bf\u03c5\u03c2 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 similarity.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b1 frontier LLMs \u03ae\u03c4\u03b1\u03bd \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03bc\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf benchmark. \u039f\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c4\u03bf\u03c5 GPT-4.1 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 Claude Sonnet 4.6 \u03b1\u03c0\u03cc \u03c4\u03bf Gemini Embedding 2 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 embeddings \u03ad\u03ba\u03b1\u03bd\u03b1\u03bd \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03bf ranking;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd queries \u03b5\u03af\u03c7\u03b1\u03bd \u03ae\u03b4\u03b7 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b5\u03af. \u03a4\u03bf online \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf \u03ad\u03ba\u03b1\u03bd\u03b5 similarity ranking \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b1\u03bd\u03ac \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03bc\u03b5 LLM.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03c3\u03b5 e-shop;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7. \u03a4\u03bf paper \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 Flickr30k \u03ba\u03b1\u03b9 25 candidates, \u03cc\u03c7\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc product catalog \u03bc\u03b5 stock, \u03c4\u03b9\u03bc\u03ad\u03c2, \u03c6\u03af\u03bb\u03c4\u03c1\u03b1, variants \u03ba\u03b1\u03b9 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c4\u03b5 \u03ad\u03c7\u03b5\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1 \u03ad\u03bd\u03b1\u03c2 LLM ranker;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c4\u03b1\u03bd \u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ae \u03ae \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c0\u03bf\u03bb\u03cd \u03c3\u03c5\u03c7\u03bd\u03ac \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7 \u03bb\u03af\u03b3\u03c9\u03bd candidates \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03bf \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf latency \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 hard negative;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 candidate \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03ae \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1, \u03ac\u03c1\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae.<\/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 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae \u03c3\u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 Amazon Nova 2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 GENERIC_INDEX, \u03b5\u03bd\u03ce \u03b7 AWS \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 IMAGE_RETRIEVAL \u03b3\u03b9\u03b1 query embeddings \u03c3\u03b5 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd. \u0394\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b4\u03c5\u03bd\u03b1\u03c4\u03ae \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b9\u03b1 \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae: embeddings \u03b3\u03b9\u03b1 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf retrieval \u03ba\u03b1\u03b9 LLM \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf reranking. \u0397 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b5, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 A\/B test.<\/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\/2608.11343\" target=\"_blank\" rel=\"noopener\">Dutta &amp; Kanungo \u2014 Can Frontier LLMs Match Natively Multimodal Embeddings?, \u03c0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03ad\u03c2 paper \u03ba\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/gemini-embedding-2\/\" target=\"_blank\" rel=\"noopener\">Google \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03b1\u03bd\u03b1\u03ba\u03bf\u03af\u03bd\u03c9\u03c3\u03b7 Gemini Embedding 2 \u03ba\u03b1\u03b9 multimodal retrieval use cases<\/a><\/li>\n<li><a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/nova2-userguide\/embeddings.html\" target=\"_blank\" rel=\"noopener\">Amazon Web Services \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 Nova Multimodal Embeddings<\/a><\/li>\n<li><a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/embeddings-schema.html\" target=\"_blank\" rel=\"noopener\">Amazon Web Services \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03bf schema \u03b3\u03b9\u03b1 GENERIC_INDEX \u03ba\u03b1\u03b9 IMAGE_RETRIEVAL<\/a><\/li>\n<li><a href=\"https:\/\/shannon.cs.illinois.edu\/DenotationGraph\/data\/index.html\" target=\"_blank\" rel=\"noopener\">University of Illinois \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03b4\u03b9\u03ac\u03b8\u03b5\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 Flickr30k dataset<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u039d\u03ad\u03b1 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 multimodal embeddings \u03ba\u03b1\u03b9 frontier LLMs \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd, \u03bc\u03b5 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b1\u03bb\u03bb\u03ac \u03c4\u03b5\u03c1\u03ac\u03c3\u03c4\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac latency \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf precomputation.<\/p>","protected":false},"author":1,"featured_media":88933,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[19309,19310,19308,19306,19307],"class_list":["post-88865","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-retrieval","tag-e-commerce-search","tag-frontier-llms","tag-multimodal-embeddings","tag-anazitisi-eikonon"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88865","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=88865"}],"version-history":[{"count":2,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88865\/revisions"}],"predecessor-version":[{"id":88934,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88865\/revisions\/88934"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/88933"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=88865"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=88865"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=88865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}