{"id":95681,"date":"2024-10-11T18:12:45","date_gmt":"2024-10-11T18:12:45","guid":{"rendered":"https:\/\/business-staging.udemy.com\/learning-path\/genai-deep-dive-rag-system-mastery\/"},"modified":"2025-06-24T23:51:20","modified_gmt":"2025-06-24T23:51:20","slug":"ai-deep-dive-rag-system-mastery","status":"publish","type":"learning-path","link":"https:\/\/business-staging.udemy.com\/id\/learning-path\/ai-deep-dive-rag-system-mastery\/","title":{"rendered":"Penguasaan Sistem 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-95681","learning-path","type-learning-path","status-publish","hentry","post","without-featured-image"],"acf":{"best_for":false,"skills":[{"skill":"Desain dan optimalisasi sistem RAG"},{"skill":"Teknik retrieval lanjutan (perluasan kueri, re-ranking, DPR)"},{"skill":"Pengembangan aplikasi RAG menggunakan LlamaIndex dan JavaScript"},{"skill":"Pra-pemrosesan dan chunking data yang tidak terstruktur"},{"skill":"Manajemen database vektor"},{"skill":"Konstruksi grafik pengetahuan dan kueri (Neo4j)"},{"skill":"Pengembangan aplikasi RAG multimodal"},{"skill":"Chatbot full-stack dan penyebaran aplikasi AI"}],"title":"Penguasaan Sistem RAG","heading_paragraph":"

Jalur pembelajaran awal ini mengeksplorasi sistem Retrieval-Augmented Generation (RAG), yang mencakup teknik RAG dasar dan lanjutan, integrasi LlamaIndex dengan JavaScript, praproses data tidak terstruktur, RAG yang disempurnakan dengan grafik pengetahuan, dan aplikasi RAG multimodal. Pelajar memperoleh pengalaman langsung dengan database vektor, dense passage retrieval, cross-encoder re-ranking, konstruksi grafik pengetahuan menggunakan Neo4j, dan membangun aplikasi RAG yang siap produksi dengan kerangka kerja modern.<\/p>\n","description_paragraph":"

Sasaran pembelajaran<\/h3>\n
    \n
  1. Menjelaskan prinsip dan arsitektur Retrieval-Augmented Generation (RAG), membedakan antara teknik RAG dasar dan lanjutan.<\/li>\n
  2. Terapkan metode RAG yang advanced seperti perluasan kueri, cross-encoder re-ranking, dan dense passage retrieval untuk meningkatkan pengambilan informasi dan pembuatan jawaban.<\/li>\n
  3. Membangun dan menerapkan aplikasi RAG menggunakan LlamaIndex dan JavaScript, termasuk pengembangan chatbot full-stack dan integrasi dengan database vektor.<\/li>\n
  4. Memproses dan menyusun data tidak terstruktur (PDF, HTML, PPTX, gambar) untuk aplikasi RAG dan LLM menggunakan kerangka kerja khusus dan strategi chunking.<\/li>\n
  5. Mengintegrasikan grafik pengetahuan dan data multimodal ke dalam sistem RAG, memanfaatkan alat seperti Neo4j dan GPT-4 untuk memungkinkan alur kerja pengambilan dan rekomendasi yang kompleks dan sesuai konteks.<\/li>\n<\/ol>\n

    Target peserta<\/h3>\n

    Jalur ini dirancang untuk teknisi AI, ilmuwan data, pengembang perangkat lunak, dan profesional teknis yang ingin menguasai sistem RAG untuk aplikasi dunia nyata. Ini cocok bagi mereka yang memiliki pengalaman pemrograman dasar yang ingin membangun, mengoptimalkan, dan menerapkan solusi AI retrieval-augmented lanjutan menggunakan alat dan kerangka kerja yang canggih.<\/p>\n","category":"Profesional Teknis"},"yoast_head":"\nPenguasaan Sistem RAG - Udemy Business<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Penguasaan Sistem RAG\" \/>\n<meta property=\"og:url\" content=\"https:\/\/business-staging.udemy.com\/id\/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=\"2025-06-24T23:51:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/business-staging.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-staging.udemy.com\\\/id\\\/learning-path\\\/ai-deep-dive-rag-system-mastery\\\/\",\"url\":\"https:\\\/\\\/business-staging.udemy.com\\\/id\\\/learning-path\\\/ai-deep-dive-rag-system-mastery\\\/\",\"name\":\"Penguasaan Sistem RAG - 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