{"id":95685,"date":"2024-10-11T18:12:48","date_gmt":"2024-10-11T18:12:48","guid":{"rendered":"https:\/\/business.udemy.com\/learning-path\/genai-deep-dive-rag-system-mastery\/"},"modified":"2025-06-24T23:50:48","modified_gmt":"2025-06-24T23:50:48","slug":"ai-deep-dive-rag-system-mastery","status":"publish","type":"learning-path","link":"https:\/\/business.udemy.com\/pt-br\/learning-path\/ai-deep-dive-rag-system-mastery\/","title":{"rendered":"Dom\u00ednio de sistema de RAG"},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","jv_blocks_editor_width":"","_genesis_block_theme_hide_title":false},"class_list":["post-95685","learning-path","type-learning-path","status-publish","hentry","post","without-featured-image"],"acf":{"best_for":false,"skills":[{"skill":"Cria\u00e7\u00e3o e otimiza\u00e7\u00e3o de sistema de RAG"},{"skill":"T\u00e9cnicas avan\u00e7adas de recupera\u00e7\u00e3o (expans\u00e3o de consulta, reordena\u00e7\u00e3o, DPR)"},{"skill":"Desenvolvimento de aplica\u00e7\u00e3o de RAG usando LlamaIndex e JavaScript"},{"skill":"Pr\u00e9-processamento de dados n\u00e3o estruturados e agrupamento"},{"skill":"Gest\u00e3o de banco de dados de vetores"},{"skill":"Cria\u00e7\u00e3o e consulta de gr\u00e1fico de conhecimento (Neo4j)"},{"skill":"Desenvolvimento de aplicativo de RAG multimodal"},{"skill":"Implanta\u00e7\u00e3o de aplica\u00e7\u00e3o de IA e chatbot full-stack"}],"title":"Dom\u00ednio de sistema de RAG","heading_paragraph":"

Esta trilha de aprendizado para iniciantes explora sistemas de Gera\u00e7\u00e3o aumentada de recupera\u00e7\u00e3o (RAG), abordando t\u00e9cnicas iniciantes e avan\u00e7adas de RAG, integra\u00e7\u00e3o do LlamaIndex com JavaScript, pr\u00e9-processamento de dados n\u00e3o estruturados, conhecimento de RAG aprimorada por gr\u00e1fico e aplica\u00e7\u00f5es de RAG multimodal. Os alunos obt\u00eam experi\u00eancia pr\u00e1tica com bancos de dados de vetores, recupera\u00e7\u00e3o de passagens densas, reordena\u00e7\u00e3o de cross-encoder, constru\u00e7\u00e3o de gr\u00e1fico de conhecimento usando Neo4j e cria\u00e7\u00e3o de aplica\u00e7\u00f5es de RAG prontas para produ\u00e7\u00e3o com estruturas modernas.<\/p>\n","description_paragraph":"

Objetivos de aprendizado<\/h3>\n
    \n
  1. Explicar os princ\u00edpios e arquitetura de Gera\u00e7\u00e3o aumentada de recupera\u00e7\u00e3o (RAG), distinguindo entre t\u00e9cnicas iniciantes e avan\u00e7adas de RAG.<\/li>\n
  2. Implementar m\u00e9todos avan\u00e7ados de RAG como expans\u00e3o de consulta, reordena\u00e7\u00e3o de cross-encoder e recupera\u00e7\u00e3o de passagens densas para melhorar a recupera\u00e7\u00e3o de informa\u00e7\u00f5es e a gera\u00e7\u00e3o de respostas.<\/li>\n
  3. Criar e implantar aplica\u00e7\u00f5es de RAG usando LlamaIndex e JavaScript, incluindo desenvolvimento de chatbot full-stack e integra\u00e7\u00e3o com bancos de dados de vetores.<\/li>\n
  4. Pr\u00e9-processar e estruturar dados n\u00e3o estruturados (PDFs, HTML, PPTX, imagens) para aplica\u00e7\u00f5es de RAG e LLM usando estruturas especializadas e estrat\u00e9gias de agrupamento.<\/li>\n
  5. Integrar gr\u00e1ficos de conhecimento e dados multimodais em sistemas de RAG, usando ferramentas como Neo4j e GPT-4 para permitir fluxos de trabalho de recomenda\u00e7\u00e3o e recupera\u00e7\u00e3o complexos e dependentes do contexto.<\/li>\n<\/ol>\n

    P\u00fablico-alvo<\/h3>\n

    Esta trilha foi criada para engenheiros de IA, cientistas de dados, desenvolvedores de software e profissionais t\u00e9cnicos que querem dominar sistemas de RAG para aplica\u00e7\u00f5es reais. Ela \u00e9 adequada para pessoas com conhecimento b\u00e1sico que querem criar, otimizar e implantar solu\u00e7\u00f5es de IA com gera\u00e7\u00e3o aumentada de recupera\u00e7\u00e3o, usando ferramentas e estruturas de ponta.<\/p>\n","category":"Profissionais t\u00e9cnicos"},"yoast_head":"\nDom\u00ednio de sistema de RAG - Udemy Business<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/business.udemy.com\/pt-br\/learning-path\/ai-deep-dive-rag-system-mastery\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dom\u00ednio de sistema de RAG\" \/>\n<meta property=\"og:url\" content=\"https:\/\/business.udemy.com\/pt-br\/learning-path\/ai-deep-dive-rag-system-mastery\/\" \/>\n<meta property=\"og:site_name\" content=\"Udemy Business\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/udemy\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T23:50:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/business.udemy.com\/wp-content\/uploads\/2023\/06\/udemy-business-organic-social-share-1200x630-refresh-2.png.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@udemy\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/business.udemy.com\\\/pt-br\\\/learning-path\\\/ai-deep-dive-rag-system-mastery\\\/\",\"url\":\"https:\\\/\\\/business.udemy.com\\\/pt-br\\\/learning-path\\\/ai-deep-dive-rag-system-mastery\\\/\",\"name\":\"Dom\u00ednio de sistema de RAG - 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