{"id":93,"date":"2024-12-09T11:41:37","date_gmt":"2024-12-09T11:41:37","guid":{"rendered":"https:\/\/nexivis.ai\/?p=93"},"modified":"2025-01-18T19:12:25","modified_gmt":"2025-01-18T19:12:25","slug":"recuperation-generation-augmentee-rag","status":"publish","type":"post","link":"https:\/\/nexivis.ai\/fr\/blog\/wiki\/recuperation-generation-augmentee-rag\/","title":{"rendered":"G\u00e9n\u00e9ration augment\u00e9e de recherche (RAG)"},"content":{"rendered":"

Retrieval Augmented Generation est une technique qui combine des mod\u00e8les d'IA g\u00e9n\u00e9ratifs avec des sources d'information externes. Les syst\u00e8mes RAG peuvent extraire des informations pertinentes d'une base de connaissances et les inclure dans la g\u00e9n\u00e9ration de r\u00e9ponses ou de contenus. Cela am\u00e9liore la pr\u00e9cision et la pertinence des sorties d'IA, en particulier pour les t\u00e2ches qui n\u00e9cessitent des connaissances actualis\u00e9es ou sp\u00e9cialis\u00e9es.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Retrieval Augmented Generation est une technique qui combine des mod\u00e8les d'IA g\u00e9n\u00e9ratifs avec des sources d'information externes. Les syst\u00e8mes RAG peuvent extraire des informations pertinentes d'une base de connaissances et les inclure dans la g\u00e9n\u00e9ration de r\u00e9ponses ou de contenus. Cela am\u00e9liore la pr\u00e9cision et la pertinence des sorties d'IA, en particulier pour les t\u00e2ches qui n\u00e9cessitent des connaissances actualis\u00e9es ou sp\u00e9cialis\u00e9es.<\/p>","protected":false},"author":1,"featured_media":82,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-93","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wiki"],"yoast_head":"\nRetrieval Augmented Generation (RAG) - Nexivis<\/title>\n<meta name=\"description\" content=\"Retrieval Augmented Generation ist eine Technik, die generative KI-Modelle mit externen Informationsquellen kombiniert.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nexivis.ai\/fr\/blog\/wiki\/recuperation-generation-augmentee-rag\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Retrieval Augmented Generation (RAG)\" \/>\n<meta property=\"og:description\" content=\"Retrieval Augmented Generation ist eine Technik, die generative KI-Modelle mit externen Informationsquellen kombiniert.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nexivis.ai\/fr\/blog\/wiki\/recuperation-generation-augmentee-rag\/\" \/>\n<meta property=\"og:site_name\" content=\"Nexivis\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-09T11:41:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-18T19:12:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nexivis.ai\/wp-content\/uploads\/2024\/12\/vektor-halbton-abstrakt-C3BCbergang-gepunktete-rundschreiben.jpg_s1024x1024wisk20cGQe9dO2uWCNmVxwSedfflDI8eOW7sxoAhjEMwcOa18Y.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"682\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/nexivis.ai\/#\/schema\/person\/f5d88018a19e0cbf6cc207f41dec658d\"},\"headline\":\"Retrieval Augmented Generation (RAG)\",\"datePublished\":\"2024-12-09T11:41:37+00:00\",\"dateModified\":\"2025-01-18T19:12:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/\"},\"wordCount\":53,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/nexivis.ai\/#organization\"},\"image\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/nexivis.ai\/wp-content\/uploads\/2024\/12\/vektor-halbton-abstrakt-C3BCbergang-gepunktete-rundschreiben.jpg_s1024x1024wisk20cGQe9dO2uWCNmVxwSedfflDI8eOW7sxoAhjEMwcOa18Y.jpg\",\"articleSection\":[\"Wiki\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/\",\"url\":\"https:\/\/nexivis.ai\/blog\/wiki\/retrieval-augmented-generation-rag\/\",\"name\":\"Retrieval Augmented Generation (RAG) - 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