{"id":2315,"date":"2025-10-31T10:52:18","date_gmt":"2025-10-31T10:52:18","guid":{"rendered":"https:\/\/interactivehpc.dk\/?p=2315"},"modified":"2025-10-31T10:52:18","modified_gmt":"2025-10-31T10:52:18","slug":"workshop-4-12-building-intelligent-knowledge-assistants-with-ragflow-on-ucloud","status":"publish","type":"post","link":"https:\/\/interactivehpc.dk\/?p=2315","title":{"rendered":"Workshop 4\/12: Building Intelligent Knowledge Assistants with RAGFlow on UCloud"},"content":{"rendered":"\n<p class=\"gp-gutenbergpro-95b84\"><strong>Date<\/strong>: 4 December 2025<br><strong>Time<\/strong>: 13:00 &#8211; 14:00 (CET)<br><strong>Location<\/strong>: Online, via Zoom<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-9e342\">Join us for a hands-on webinar introducing RAGFlow, an advanced Retrieval-Augmented Generation (RAG) platform available on UCloud. RAGFlow enables you to build your own intelligent assistants by combining document retrieval, embeddings, and large language models &#8211; all within a user-friendly visual interface.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-e28af\" id=\"paragraph\"><strong>In this session, you will learn how to:&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Launch RAGFlow on UCloud<\/strong>&nbsp;&#8211; explore the application options in the job page and understand how to configure your workspace.<\/li>\n\n\n\n<li><strong>Navigate the RAGFlow interface<\/strong>&nbsp;&#8211; get familiar with the main dashboard, menus, and workflow structure.<\/li>\n\n\n\n<li><strong>Set up an embedding and chat model<\/strong>&nbsp;&#8211; choose from available models and understand their roles in retrieval and dialogue generation.<\/li>\n\n\n\n<li><strong>Create and manage knowledge bases<\/strong>&nbsp;&#8211; upload and process your own datasets, configure chunking and embedding strategies, and test retrieval quality.<\/li>\n\n\n\n<li><strong>Build a chat assistant<\/strong>&nbsp;&#8211; connect your models and knowledge base to create an interactive, context-aware chatbot.<\/li>\n\n\n\n<li><strong>Design a basic agentic workflow<\/strong>&nbsp;&#8211; combine tools and steps in RAGFlow\u2019s visual builder to automate reasoning and responses.<\/li>\n\n\n\n<li><strong>Launch RAGFlow on UCloud<\/strong>&nbsp;&#8211; explore the application options in the job page and understand how to configure your workspace.<\/li>\n<\/ul>\n\n\n\n<p class=\"gp-gutenbergpro-ce32f\">All workflows will be demonstrated live on UCloud, showing how to go from data ingestion to an operational AI assistant &#8211; no coding required.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-e020c\" id=\"paragraph\"><strong>Target audience:&nbsp;<\/strong>Researchers, students, and AI-curious users interested in document-based question answering, knowledge management, and conversational AI.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-80bff\"><strong>Technical Level:&nbsp;<\/strong>Beginner to Intermediate \u2014 no prior experience with RAG or model configuration needed.&nbsp;Basic familiarity with UCloud will be helpful. If you\u2019re new to the platform, we recommend signing up for the <a href=\"https:\/\/interactivehpc.dk\/?p=2298\" data-type=\"post\" data-id=\"2298\">Getting Started with UCloud workshop on 19 November<\/a><\/p>\n\n\n\n<p class=\"gp-gutenbergpro-b83a4\"><\/p>\n\n\n\n<p class=\"gp-gutenbergpro-16849\"><a href=\"https:\/\/event.au.dk\/events\/intelligent-knowledge-assistants-with-ragflow\/registration\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Sign up for the RAGFlow on UCloud workshop<\/strong><\/a><\/p>\n\n\n\n<p class=\"gp-gutenbergpro-885bd\"><\/p>\n\n\n\n<div class=\"wp-block-columns gp-gutenbergpro-a083d is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column gp-gutenbergpro-d8b9a has-ihpc-primary-2-tint-15-background-color has-background is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading gp-gutenbergpro-ea919\">A<strong>bout the RAGFlow application: <\/strong><\/h3>\n\n\n\n<p class=\"gp-gutenbergpro-a89a0\"><strong>RAGFlow is a new application being introduced on UCloud this December. <\/strong>It lets you build your own smart assistant using your documents. It combines search and AI to answer questions based on information you provide &#8211; no coding required.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-a6ded\">Key features:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Create your own knowledge base <\/strong><br>Upload PDFs, text files, or notes and let RAGFlow organize them for easy retrieval.<br><\/li>\n\n\n\n<li><strong>Choose AI models<\/strong><br>Pick an embedding model for search and a chat model for conversations, all within the app. You can also add other model types &#8211; such as reranking for better answer accuracy, speech-to-text for audio input, image-to-text for scanned documents, or text-to-speech for spoken responses. <br><\/li>\n\n\n\n<li><strong>Chat with your data<\/strong><br>Ask questions and get context-aware answers directly from your uploaded materials.<br><\/li>\n\n\n\n<li><strong>Simple visual workflow<\/strong><br>Set up each step through an easy, guided interface.<br><\/li>\n\n\n\n<li><strong>Secure on UCloud<\/strong><br>All data stays private and runs safely within UCloud\u2019s secure environment.<\/li>\n<\/ul>\n\n\n\n<p class=\"gp-gutenbergpro-4e841\">RAGFlow is perfect for beginners who want to explore how AI can search, summarize, and explain their own research data or learning materials. For advanced users, RAGFlow also offers powerful customization through agentic workflows, where multiple models and tools can work together in sequence.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-4739e\">Keep an eye on updates <a href=\"https:\/\/interactivehpc.dk\/\">here<\/a> or in the <a href=\"https:\/\/cloud.sdu.dk\/app\/applications\">UCloud app catalogue<\/a> to be the first to know when RAGFlow becomes available.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Date: 4 December 2025Time: 13:00 &#8211; 14:00 (CET)Location: Online, via Zoom Join us for a hands-on webinar introducing RAGFlow, an advanced Retrieval-Augmented Generation (RAG) platform available on UCloud. RAGFlow enables you to build your own intelligent assistants by combining document retrieval, embeddings, and large language models &#8211; all within a user-friendly visual interface. In this [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2317,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"gtp_columnspro_styling":"{\"9554960f-6186-4d76-9a1b-86ea0147a670\":\".gp-gutenbergpro-d8b9a { position:relative; background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\ngap: 3%;\\nmin-height: 0px; }  \",\"7b490f63-4da6-4196-9633-1493d7476194\":\".gp-gutenbergpro-a083d { position:relative; background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\ngap: 3%;\\nmin-height: 0px; }  .gp-gutenbergpro-a083d .wp-block-column { margin-left: 0 !important; }\"}","gtp_paragraph_styling":"{\"4739eff0-1e29-49cf-a2ad-bc8bb1b5d8ec\":\" .gp-gutenbergpro-4739e { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\"}","gtp_heading_styling":"{\"ea919ae1-c033-4506-94c3-d5a2f2ae55a8\":\" .gp-gutenbergpro-ea919 { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nletter-spacing: 0px !important;\\ntext-shadow: 0px 0px 0px ;\\nfont-family:  !important; }\"}","gtp_spacer_styling":"{}","gtp_video_styling":"{}","gtp_group_styling":"{}","gtp_cover_styling":"{}","footnotes":""},"categories":[314,40,38,11],"tags":[],"class_list":["post-2315","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application___en","category-interactive-hpc","category-supercomputing","category-workshop"],"lang":"en","translations":{"en":2315,"da":2321},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2315"}],"version-history":[{"count":4,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2315\/revisions"}],"predecessor-version":[{"id":2466,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2315\/revisions\/2466"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/media\/2317"}],"wp:attachment":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}