{"id":1179,"date":"2025-01-01T10:00:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/l\/definition-langchain\/"},"modified":"2025-01-01T10:00:00","modified_gmt":"2025-01-01T09:00:00","slug":"definition-langchain","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/l\/definition-langchain\/","title":{"rendered":"Langchain"},"content":{"rendered":"<p>LangChain simplifie la cr\u00e9ation d&rsquo;applications utilisant des mod\u00e8les de langage. Qu&rsquo;est-ce que LangChain ? C&rsquo;est un framework qui permet d&rsquo;encha\u00eener diff\u00e9rentes op\u00e9rations avec des mod\u00e8les de langage, comme si vous construisiez une cha\u00eene avec diff\u00e9rents maillons.<\/p>\n<h3>Comment fonctionne LangChain ?<\/h3>\n<p>LangChain vous fournit des outils pour assembler des composants afin d&rsquo;interagir avec des mod\u00e8les de langage de mani\u00e8re plus complexe. Imaginez que vous voulez cr\u00e9er un chatbot qui puisse non seulement converser, mais aussi rechercher des informations et effectuer des actions.  LangChain vous permet de connecter un mod\u00e8le de langage \u00e0 d&rsquo;autres sources de donn\u00e9es (comme une base de donn\u00e9es ou un moteur de recherche) et \u00e0 des agents qui peuvent ex\u00e9cuter des actions.  C&rsquo;est comme construire un robot avec un cerveau (le mod\u00e8le de langage), des yeux et des oreilles (les modules de recherche d&rsquo;informations) et des mains (les agents d&rsquo;action).<\/p>\n<h3>Pourquoi LangChain est-il important ?<\/h3>\n<p>LangChain est essentiel car il facilite le d\u00e9veloppement d&rsquo;applications d&rsquo;IA conversationnelles plus sophistiqu\u00e9es. Au lieu de simplement poser des questions \u00e0 un mod\u00e8le de langage isol\u00e9, vous pouvez cr\u00e9er des syst\u00e8mes qui interagissent avec le monde r\u00e9el. Par exemple, vous pourriez d\u00e9velopper un assistant qui recherche des informations sur un produit, puis les r\u00e9sume pour vous, ou un agent conversationnel qui peut prendre des rendez-vous en consultant votre calendrier.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Mod%C3%A8les+de+langage\">Mod\u00e8les de langage<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Prompt+Engineering\">Prompt Engineering<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Agents\">Agents<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>LangChain simplifie la cr\u00e9ation d&rsquo;applications utilisant des mod\u00e8les de langage. Qu&rsquo;est-ce que LangChain ? C&rsquo;est un framework qui permet d&rsquo;encha\u00eener diff\u00e9rentes op\u00e9rations avec des mod\u00e8les de langage, comme si vous construisiez une cha\u00eene avec diff\u00e9rents maillons. Comment fonctionne LangChain ? LangChain vous fournit des outils pour assembler des composants afin d&rsquo;interagir avec des mod\u00e8les de [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[167],"tags":[649,608,70,12],"class_list":["post-1179","post","type-post","status-publish","format-standard","hentry","category-l","tag-agents","tag-langchain","tag-modeles-de-langage","tag-prompt-engineering"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"LangChain simplifie la cr\u00e9ation d&rsquo;applications utilisant des mod\u00e8les de langage. Qu&rsquo;est-ce que LangChain ? C&rsquo;est un framework qui permet d&rsquo;encha\u00eener diff\u00e9rentes op\u00e9rations avec des mod\u00e8les de langage, comme si vous construisiez une cha\u00eene avec diff\u00e9rents maillons. Comment fonctionne LangChain ? LangChain vous fournit des outils pour assembler des composants afin d&rsquo;interagir avec des mod\u00e8les de\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1179","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=1179"}],"version-history":[{"count":0,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1179\/revisions"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=1179"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=1179"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=1179"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}