{"id":7825,"date":"2024-05-14T11:18:00","date_gmt":"2024-05-14T09:18:00","guid":{"rendered":"http:\/\/nextbrain.ai\/?p=7825"},"modified":"2024-05-14T11:22:02","modified_gmt":"2024-05-14T09:22:02","slug":"rag-explained-in-simple-words","status":"publish","type":"post","link":"https:\/\/nextbrain.ai\/ja\/blog\/rag-explained-in-simple-words","title":{"rendered":"RAG\u3092\u7c21\u5358\u306b\u8aac\u660e\u3059\u308b\u3068"},"content":{"rendered":"
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Retrieval-Augmented Generation (RAG)\u306f\u3001\u5fdc\u7b54\u3092\u751f\u6210\u3059\u308b\u524d\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bd\u30fc\u30b9\u3092\u8d85\u3048\u305f\u4fe1\u983c\u3067\u304d\u308b\u77e5\u8b58\u30d9\u30fc\u30b9\u3092\u53c2\u7167\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u51fa\u529b\u3092\u6d17\u7df4\u3055\u305b\u308b\u65b9\u6cd5\u3067\u3059\u3002<\/p>

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\u3053\u306e\u57cb\u3081\u8fbc\u307f\u306fLLM\u306b\u518d\u6295\u5165\u3055\u308c\u3001\u6b63\u78ba\u3067\u51fa\u6240\u304c\u660e\u78ba\u306a\u30c7\u30fc\u30bf\u3067\u5143\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u8c4a\u304b\u306b\u3057\u307e\u3059\u3002LLM\u306f\u3053\u306e\u5f37\u5316\u3055\u308c\u305f\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u51e6\u7406\u3057\u3001\u5143\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u7b54\u3048\u3092\u63d0\u4f9b\u3057\u3001\u6b63\u78ba\u3055\u3068\u95a2\u9023\u6027\u3092\u78ba\u4fdd\u3057\u307e\u3059\u3002<\/p>

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AI\u99c6\u52d5\u306e\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3051\u308b\u30ea\u30b9\u30af\u306e\u8efd\u6e1b<\/strong><\/h3>\n

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\u3067 NextBrain AI<\/a>\u3001\u6700\u65b0\u306eAI\u6280\u8853\u3092\u4f7f\u7528\u3057\u3066\u3001\u6280\u8853\u7684\u306a\u5b9f\u88c5\u306b\u4f34\u3046\u8907\u96d1\u3055\u306a\u3057\u306b\u3001\u6b63\u78ba\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3068\u5b9f\u7528\u7684\u306a\u30d3\u30b8\u30cd\u30b9\u30a4\u30f3\u30b5\u30a4\u30c8\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002 \u4eca\u65e5\u30c7\u30e2\u306e\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u3092\u8a2d\u5b9a\u3057\u3066\u304f\u3060\u3055\u3044<\/a> \u79c1\u305f\u3061\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u304c\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3059\u308b\u304b\u3092\u76f4\u63a5\u4f53\u9a13\u3059\u308b\u305f\u3081\u306b\u3002<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Retrieval-Augmented Generation (RAG) is the method of refining the output of a substantial language model by referring to a credible knowledge base beyond its training […]<\/p>\n","protected":false},"author":1,"featured_media":7826,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[70],"tags":[598,601,290,434,264,597,600,282,587,599],"class_list":["post-7825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai-driven-data-analysis","tag-business-insights","tag-data-analysis-2","tag-data-governance","tag-generative-ai","tag-large-language-model","tag-llm","tag-machine-learning","tag-rag","tag-vector-database"],"yoast_head":"\nRAG Explained in Simple Words - NextBrain AI | No-Code Machine Learning<\/title>\n<meta name=\"description\" content=\"Discover how Retrieval-Augmented Generation (RAG) revolutionizes data handling with vector databases and large language models.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nextbrain.ai\/ja\/blog\/rag-explained-in-simple-words\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"RAG Explained in Simple Words - 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