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2025\u5e742\u670813\u65e5 11\u664210\u5206<\/p>\n

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\u751f\u6210AI\u306e\u5c0e\u5165\u306b\u306f\u3001\u73fe\u5834\u696d\u52d9\u306e\u6df1\u3044\u7406\u89e3\u3068\u3001\u904b\u7528\u9762\u3067\u306e\u8ab2\u984c\u89e3\u6c7a\u304c\u4e0d\u53ef\u6b20\u3067\u3059\u3002\u5f53\u793e\u306e\u5f37\u307f\u3067\u3042\u308b\u7d4c\u55b6\u9663\u306e20\u5e74\u4ee5\u4e0a\u306b\u308f\u305f\u308b\u696d\u52d9\u30b3\u30f3\u30b5\u30eb\u306e\u7d4c\u9a13\u3092\u6d3b\u304b\u3057\u3001\u9867\u5ba2\u306e\u73fe\u5728\u306e\u696d\u52d9\u30d7\u30ed\u30bb\u30b9\u3092\u6df1\u304f\u5206\u6790\u3002<\/p>\n

\u300cAIKNOW\u300d\u00d7\u300c\u30b3\u30f3\u30b5\u30eb\u30c6\u30a3\u30f3\u30b0\u300d\u3092\u3082\u3063\u3066\u52b9\u679c\u7684\u306a\u751f\u6210AI\u5c0e\u5165\u8a08\u753b\u306e\u7acb\u6848\u304b\u3089\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u3001 \u5c0e\u5165\u5f8c\u306e\u696d\u52d9\u904b\u7528\u6539\u5584\u307e\u3067\u4e00\u8cab\u3057\u3066\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n

\u300cAIKNOW\u300d\u306e\u7279\u5fb4<\/strong><\/h4>\n
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GPT\u3084Gemini\u306a\u3069\u306e\u4e3b\u8981\u306aLLM\u306b\u52a0\u3048\u3001\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306eLlama\u3092\u9078\u629e\u53ef\u80fd\u3067\u3059\u3002
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\u300cAIKNOW\u300d\u306e\u5c55\u671b<\/strong><\/h4>\n

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\u25a0\u682a\u5f0f\u4f1a\u793e\u30c6\u30af\u30cb\u30ab\u306b\u3064\u3044\u3066<\/strong><\/h4>\n

\u7d0440\u540d\u306eAI\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3068AI\u30a8\u30f3\u30b8\u30cb\u30a2\u3092\u64c1\u3057\u3001AI\u6280\u8853\u306b\u95a2\u3059\u308b\u30b3\u30f3\u30b5\u30eb\u30c6\u30a3\u30f3\u30b0\u304b\u3089\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u307e\u3067\u3092\u4e00\u8cab\u3057\u3066\u63d0\u4f9b\u3059\u308b\u4f01\u696d\u3067\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u3084\u6df1\u5c64\u5b66\u7fd2\u3001\u751f\u6210AI\u306e\u5fdc\u7528\u306b\u304a\u3044\u3066\u8c4a\u5bcc\u306a\u5b9f\u7e3e\u3092\u6301\u3061\u3001\u7279\u306bAI\u6280\u8853\u306e\u7814\u7a76\u30fb\u958b\u767a\u5206\u91ce\u3067\u306f\u56fd\u5185\u5916\u3067\u9ad8\u3044\u8a55\u4fa1\u3092\u53d7\u3051\u3066\u3044\u307e\u3059\u3002\u7d4c\u55b6\u9663\u306f\u3001AI\u6280\u8853\u306e\u7814\u7a76\u30fb\u958b\u767a\u306b\u52a0\u3048\u3001\u305d\u306e\u30d3\u30b8\u30cd\u30b9\u5fdc\u7528\u306b\u3082\u6df1\u3044\u77e5\u898b\u3092\u6709\u3057\u3001\u4f01\u696d\u306eAI\u6226\u7565\u7b56\u5b9a\u304b\u3089\u5b9f\u88c5\u307e\u3067\u3092\u30ea\u30fc\u30c9\u3057\u307e\u3059\u3002\u6700\u5148\u7aef\u6280\u8853\u3068\u696d\u52d9\u6539\u9769\u306e\u77e5\u898b\u3092\u878d\u5408\u3057\u3001\u9867\u5ba2\u306e\u6301\u7d9a\u7684\u306a\u6210\u9577\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

A Next-Generation AI Solution for the Workplace, Combining Knowledge Graphs and Vector Search for Accurate and Secure Results Tokyo, February 13, 2025, 11:10 AM Technica Inc. (Headquarters: Chiyoda-ku, Tokyo; CEO: Tsuyuri Satoki) has launched the hybrid RAG (Retrieval-Augmented Generation) service \u201cAIKNOW.\u201d As a hybrid RAG that combines multiple search methodologies, AIKNOW is a next-generation AI solution that supports business transformation with generative AI and provides end-to-end consulting, from introduction to operation. The Potential for Business Transformation with Generative AI Generative AI has the potential to greatly impact operational efficiency and decision-making. However, its introduction often requires significant changes to conventional business processes, such as knowledge management, decision-making procedures, and workflow […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[65],"tags":[],"class_list":["post-5786","post","type-post","status-publish","format-standard","hentry","category-news-release"],"acf":[],"_links":{"self":[{"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/posts\/5786","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/comments?post=5786"}],"version-history":[{"count":9,"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/posts\/5786\/revisions"}],"predecessor-version":[{"id":5795,"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/posts\/5786\/revisions\/5795"}],"wp:attachment":[{"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/media?parent=5786"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/categories?post=5786"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technica.ai\/ja\/wp-json\/wp\/v2\/tags?post=5786"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}