{"id":1187,"date":"2025-08-07T13:08:45","date_gmt":"2025-08-07T13:08:45","guid":{"rendered":"https:\/\/blog.aetherix.com\/?p=1187"},"modified":"2026-03-27T13:32:01","modified_gmt":"2026-03-27T13:32:01","slug":"jetson-generative-ai-flowise","status":"publish","type":"post","link":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/","title":{"rendered":"Jetson Generative AI &#8211; Flowise"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1331.2px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p><strong>Flowise<\/strong> is an open-source, low-code tool for building customized LLM applications and AI agents. Flowise is designed to let anyone build powerful AI-driven solutions without writing a single line of code!<\/p>\n<\/div><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-four\" style=\"--awb-margin-top:-10px;--awb-margin-bottom:-10px;\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Why Flowise on Jetson?<\/h4><\/h4><\/div><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Flowise vs n8n: Choosing the Right Tool<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-2\"><p>At first glance, Flowise and n8n might seem pretty similar &#8211; both offer visual workflow builders and can handle AI tasks. But when you dig deeper, they each have their own advantages and disadvantages that make them better suited for different types of projects.<\/p>\n<\/div><div class=\"fusion-text fusion-text-3\"><p><strong>Core Philosophy Difference<\/strong><br \/>\n<strong>Flowise:<\/strong> AI-first platform specializing in LLM workflows<br \/>\n<strong>n8n:<\/strong> General-purpose automation platform that can do AI<\/p>\n<\/div>\n<div class=\"table-1\">\n<table width=\"100%\">\n<thead>\n<tr>\n<th align=\"left\">Capability<\/th>\n<th align=\"left\">Flowise<\/th>\n<th align=\"left\">n8n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\"><strong>AI Focus<\/strong><\/td>\n<td align=\"left\">LLM-optimized with built-in prompt engineering<\/td>\n<td align=\"left\">300+ integrations, AI as add-on<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Learning Curve<\/strong><\/td>\n<td align=\"left\">Easier for AI newcomers<\/td>\n<td align=\"left\">Better for developers<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Code Execution<\/strong><\/td>\n<td align=\"left\">Limited, component-focused<\/td>\n<td align=\"left\">Full JavaScript\/Python support<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Performance<\/strong><\/td>\n<td align=\"left\">Good for moderate AI workloads<\/td>\n<td align=\"left\">Enterprise-grade with scaling<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Templates<\/strong><\/td>\n<td align=\"left\">AI-focused (RAG, Agents, Research)<\/td>\n<td align=\"left\">800+ general automation templates<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-text fusion-title-size-one\"><h1 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4 id=\"choose-flowise-when-you\" data-source-line=\"27\">Choose Flowise When You:<\/h4><\/h1><\/div><div class=\"fusion-text fusion-text-4\"><p><strong>Want rapid AI prototyping<\/strong> &#8211; Get chatbots running in minutes<br \/>\n<strong>Focus on conversational AI &#8211;<\/strong> Built-in conversation management<br \/>\n<strong>Need AI-specific tools &#8211;<\/strong> Native LangChain\/LlamaIndex integration<br \/>\n<strong>Prefer simplicity &#8211;<\/strong> Lower learning curve for LLM projects<\/p>\n<\/div><div class=\"fusion-title title fusion-title-4 fusion-sep-none fusion-title-text fusion-title-size-one\"><h1 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Choose n8n When You:<\/h4><\/h1><\/div><div class=\"fusion-text fusion-text-5\"><p><strong>Need enterprise integrations<\/strong> &#8211; Connect AI with existing business systems<br \/>\n<strong>Want code flexibility<\/strong> &#8211; Custom JavaScript\/Python execution<br \/>\n<strong>Require complex workflows<\/strong> &#8211; Advanced scraping, data processing<br \/>\n<strong>Build beyond AI<\/strong> &#8211; General automation across multiple systems<\/p>\n<\/div><div class=\"fusion-title title fusion-title-5 fusion-sep-none fusion-title-text fusion-title-size-one\"><h1 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>For the Jetson:<\/h4><\/h1><\/div><div class=\"fusion-text fusion-text-6\"><p>For <strong>edge AI applications<\/strong>, Flowise&#8217;s specialization often wins because:<\/p>\n<ul>\n<li><strong>Local LLM integration<\/strong> is seamless (Ollama support)<\/li>\n<li><strong>Rapid iteration<\/strong> matters more than complex integrations<\/li>\n<li><strong>AI-first design<\/strong> reduces development complexity<\/li>\n<li><strong>Template marketplace<\/strong> accelerates deployment<\/li>\n<\/ul>\n<p>If your Jetson project is primarily about AI\/LLM applications, Flowise gets you there faster. If you need AI as part of broader system automation, n8n provides more flexibility.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-6 fusion-sep-none fusion-title-text fusion-title-size-one\"><h1 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4 id=\"installation-methods\" data-source-line=\"70\">Installation Methods<\/h4><\/h1><\/div><div class=\"fusion-text fusion-text-7\"><p>You have a few different ways to get Flowise running on your Jetson. Docker installation is probably your best bet since it&#8217;s the most straightforward and handles all the dependencies for you. If you prefer more control, you can do a local Node.js installation. There&#8217;s also the option of cloud deployment if you need external access, though that defeats some of the edge computing benefits.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-7 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Docker Installation<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-8\"><p><em>Note: Ensure your Jetson has Docker installed. For more information visit <strong>https:\/\/docs.docker.com\/engine\/install\/<\/strong> .<\/em><\/p>\n<\/div><div class=\"fusion-text fusion-text-9\"><p><strong>Web UI<\/strong>: http:\/\/localhost:3000<\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-1 > .CodeMirror, .fusion-syntax-highlighter-1 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-1 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_1\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_1\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_1\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\"># Pull and run Flowise\ndocker run -it --rm \\\n  --name=flowise \\\n  --network=host \\\n  -e PORT=3000 \\\n  -e FLOWISE_USERNAME=jetson \\\n  -e FLOWISE_PASSWORD=jetson \\\n  -v \/mnt\/nvme\/cache\/flowise:\/root\/.flowise \\\n  -e DATABASE_PATH=\/root\/.flowise \\\n  -e APIKEY_PATH=\/root\/.flowise \\\n  -e SECRETKEY_PATH=\/root\/.flowise \\\n  -e LOG_PATH=\/root\/.flowise\/logs \\\n  -e BLOB_STORAGE_PATH=\/root\/.flowise\/storage \\\n  --runtime nvidia \\\n  flowiseai\/flowise:latest<\/textarea><\/div><div class=\"fusion-title title fusion-title-8 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Local Installation<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-10\"><p><em>Note: Ensure Node.js is installed on your Jetson (Node v18.15.0 or v20 is supported).\u00a0<\/em><\/p>\n<p><strong>1. Install Node.js on Jetson:<\/strong><\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-2 > .CodeMirror, .fusion-syntax-highlighter-2 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-2 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_2\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_2\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_2\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\"># Install Node.js 20 LTS (recommended)\ncurl -fsSL https:\/\/deb.nodesource.com\/setup_20.x | sudo -E bash -\nsudo apt-get install -y nodejs\n\n# Verify installation (should be v18.15.0+ or v20+)\nnode --version\nnpm --version<\/textarea><\/div><div class=\"fusion-title title fusion-title-9 fusion-sep-none fusion-title-text fusion-title-size-one\"><h1 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Quick Start<\/h4><\/h1><\/div><div class=\"fusion-text fusion-text-11\"><p><strong>2 .Install Flowise:<\/strong><\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-3 > .CodeMirror, .fusion-syntax-highlighter-3 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-3 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_3\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_3\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_3\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\"># Install Flowise globally\nnpm install -g flowise\n\n# Or install a specific version\nnpm install -g flowise@x.x.x<\/textarea><\/div><div class=\"fusion-text fusion-text-12\" style=\"--awb-margin-top:20px;\"><p><strong>3 .Start Flowise:<br \/>\n<\/strong><\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-4 > .CodeMirror, .fusion-syntax-highlighter-4 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-4 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_4\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_4\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_4\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\">npx flowise start<\/textarea><\/div><div class=\"fusion-text fusion-text-13\" style=\"--awb-margin-top:20px;\"><p>Open: <strong>http:\/\/localhost:3000<\/strong><\/p>\n<\/div><div class=\"fusion-title title fusion-title-10 fusion-sep-none fusion-title-text fusion-title-size-four\" style=\"--awb-margin-top:-20px;--awb-margin-bottom:-20px;\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Getting Started<\/h4><\/h4><\/div><div class=\"fusion-title title fusion-title-11 fusion-sep-none fusion-title-text fusion-title-size-four\" style=\"--awb-margin-bottom:-20px;\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>First Setup<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-14\"><ol>\n<li><strong>Access Flowise<\/strong>:\n<ul>\n<li>Open browser to <code>http:\/\/your-jetson-ip:3000<\/code><\/li>\n<li>Login with configured credentials<\/li>\n<\/ul>\n<\/li>\n<li><strong>Configure API Keys<\/strong>:\n<ul>\n<li>Go to &#8220;Credentials&#8221; section<\/li>\n<li>Add your LLM provider API keys (OpenAI, Anthropic, etc.)<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/div><div class=\"fusion-image-element \" style=\"--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-1 hover-type-none\"><img decoding=\"async\" width=\"1\" height=\"1\" title=\"credentials\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/credentials.png\" alt class=\"img-responsive wp-image-1195\"\/><\/span><\/div><div class=\"fusion-title title fusion-title-12 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Flowise Management Features<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-15\"><p>Once you&#8217;re inside Flowise, you&#8217;ll find all the management tools neatly organized in the sidebar. The interface is pretty intuitive &#8211; you&#8217;ve got your Chatflows for basic conversational AI, Agentflows for more complex multi-agent setups, and a Marketplace full of templates from the community.<\/p>\n<p>There are separate sections for Tools and utility functions, Assistants for managing your deployed AI instances, and Executions where you can see how all your workflows are performing. The Document Stores section is where you upload files for your knowledge base, while API Keys and Credentials handle all your authentication securely.<\/p>\n<p>What&#8217;s really nice is how everything ties together. You can track execution performance across all your workflows, manage variables globally so you don&#8217;t have to configure the same things over and over, and organize your documents with proper version control. Plus, all your API keys and secrets are encrypted and stored securely.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-13 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Building Advanced Agent Workflows<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-16\"><p>For more complex applications, Flowise also supports advanced agent workflows that can handle multi-step reasoning and autonomous decision-making:<\/p>\n<\/div><div class=\"fusion-image-element \" style=\"--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-2 hover-type-none\"><img decoding=\"async\" width=\"1024\" height=\"494\" title=\"cred\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-1024x494.webp\" alt class=\"img-responsive wp-image-1240\" srcset=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-200x96.webp 200w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-300x145.webp 300w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-400x193.webp 400w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-600x289.webp 600w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-768x370.webp 768w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-800x386.webp 800w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred-1024x494.webp 1024w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/cred.webp 1049w\" sizes=\"(max-width: 640px) 100vw, 1024px\" \/><\/span><\/div><div class=\"fusion-text fusion-text-17\" style=\"--awb-margin-top:20px;\"><p><em>Main Flowise dashboard showing sidebar navigation, management options, and credentials setup.<\/em><\/p>\n<\/div><div class=\"fusion-title title fusion-title-14 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Local LLM Setup (Recommended for Jetson)<\/h4><\/h4><\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-5 > .CodeMirror, .fusion-syntax-highlighter-5 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-5 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_5\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_5\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_5\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\"># Create Ollama data directory\nsudo mkdir -p \/mnt\/nvme\/cache\/ollama\nsudo chown -R $USER:$USER \/mnt\/nvme\/cache\/ollama\n\n# Run Ollama container\ndocker run -d --name=ollama \\\n  -p 11434:11434 \\\n  -v \/mnt\/nvme\/cache\/ollama:\/root\/.ollama \\\n  ollama\/ollama<\/textarea><\/div><div class=\"fusion-text fusion-text-18\" style=\"--awb-margin-top:20px;\"><p>Pull AI models into your separate Ollama container:<\/p>\n<blockquote>\n<p>Note: Choose models based on your Jetson&#8217;s RAM &#8211; use 3B models for 4-8GB RAM, 7B-8B models for 16GB+ RAM.<\/p>\n<\/blockquote>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-6 > .CodeMirror, .fusion-syntax-highlighter-6 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-6 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_6\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_6\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_6\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\"># Pull popular models\ndocker exec -it ollama ollama pull llama3.2:3b    # Smaller model (3B parameters)\ndocker exec -it ollama ollama pull llama3.1:8b    # Larger model (8B parameters) \ndocker exec -it ollama ollama pull mistral:7b     # Alternative model\n\n# Verify models are downloaded\ndocker exec -it ollama ollama list\n\n# Test Ollama is responding\ncurl http:\/\/localhost:11434\/api\/tags<\/textarea><\/div><div class=\"fusion-image-element \" style=\"--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-3 hover-type-none\"><img decoding=\"async\" width=\"806\" height=\"901\" title=\"add ollama\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/add-ollama.png\" alt class=\"img-responsive wp-image-1201\" srcset=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/add-ollama-200x224.png 200w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/add-ollama-400x447.png 400w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/add-ollama-600x671.png 600w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/add-ollama-800x894.png 800w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/add-ollama.png 806w\" sizes=\"(max-width: 640px) 100vw, 806px\" \/><\/span><\/div><div class=\"fusion-title title fusion-title-15 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Template Marketplace<\/h4><\/h4><\/div><div class=\"fusion-title title fusion-title-16 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Pre-Built Templates for Quick Start<\/h4><\/h4><\/div><div class=\"fusion-image-element \" style=\"--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-4 hover-type-none\"><img decoding=\"async\" width=\"1\" height=\"1\" title=\"marketplace\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/marketplace.png\" alt class=\"img-responsive wp-image-1204\"\/><\/span><\/div><div class=\"fusion-text fusion-text-19\" style=\"--awb-margin-top:20px;\"><p><strong>Access Marketplace:<\/strong> Click &#8220;Marketplaces&#8221; in the sidebar and use filters to find relevant templates. Click on the template you want to use and select &#8220;Use Template&#8221;. Modify nodes and connections for your specific needs.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-17 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h3>Building Your First Chatbot<\/h3><\/h3><\/div><div class=\"fusion-text fusion-text-20\"><p id=\"you-can-start-from-template-recommended\"><strong>You can start from Template (Recommended)<\/strong><\/p>\n<ol>\n<li><strong>Navigate to Marketplace<\/strong>: Go to &#8220;Marketplaces&#8221; \u2192 &#8220;Community Templates&#8221;<\/li>\n<li><strong>Select Template<\/strong>: Choose &#8220;Basic&#8221; or &#8220;Customer Support&#8221; template<\/li>\n<li><strong>Import and Customize<\/strong>: Click template \u2192 modify for your needs<\/li>\n<li><strong>Configure Ollama<\/strong>: Update Chat Model nodes to use <code>http:\/\/localhost:11434<\/code><\/li>\n<\/ol>\n<p id=\"or-you-can-build-from-scratch\"><strong>Or you can build from scratch<\/strong><\/p>\n<h4 id=\"step-1-create-new-chatflow\">Step 1: Create New Chatflow<\/h4>\n<ol>\n<li>Go to &#8220;Chatflows&#8221; tab<\/li>\n<li>Click &#8220;Add New&#8221;<\/li>\n<li>Name your chatflow<\/li>\n<\/ol>\n<p><strong>And you can add nodes from Categories<\/strong><\/p>\n<p>When you&#8217;re building workflows, you&#8217;ll see different node categories organized logically. LangChain nodes give you the core components and chains, while LlamaIndex nodes are specifically for RAG applications. There are Utility nodes for helper functions, Agent nodes for autonomous components, and Chat Model nodes that connect to different LLMs like Ollama or OpenAI. You&#8217;ll also find Document Loaders for processing files and Embedding nodes for vector operations.<\/p>\n<\/div><div class=\"fusion-image-element \" style=\"--awb-aspect-ratio:4 \/ 3;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-5 hover-type-none has-aspect-ratio\"><img decoding=\"async\" width=\"755\" height=\"1024\" title=\"addnodesinchatflow\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/addnodesinchatflow-755x1024.png\" class=\"img-responsive wp-image-1202 img-with-aspect-ratio\" data-parent-fit=\"cover\" data-parent-container=\".fusion-image-element\" alt srcset=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/addnodesinchatflow-200x271.png 200w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/addnodesinchatflow-400x543.png 400w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/addnodesinchatflow-600x814.png 600w, https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/addnodesinchatflow.png 762w\" sizes=\"(max-width: 640px) 100vw, 755px\" \/><\/span><\/div><div class=\"fusion-title title fusion-title-18 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Configure Components<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-21\"><p>When configuring your Chat Ollama node, set the model name to something like llama3.2:3b, keep the temperature around 0.7 for good creativity, and point the Base URL to <strong><em>http:\/\/localhost:11434<\/em><\/strong> where your Ollama container is running.<\/p>\n<p>For the Conversation Chain, you&#8217;ll connect your Chat Model input and add a system prompt to give your AI some context about what it should do. Here&#8217;s a good starting prompt:<\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-7 > .CodeMirror, .fusion-syntax-highlighter-7 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-7 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_7\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_7\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_7\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\">You are a helpful AI assistant running on an NVIDIA Jetson device. \nHelp with AI, robotics, and edge computing questions.\nKeep responses concise and practical.<\/textarea><\/div><div class=\"fusion-title title fusion-title-19 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Test and Deploy<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-22\"><p>Once you&#8217;ve got everything configured, hit the save button and use the chat panel to test your bot. Make sure it&#8217;s responding the way you want, then you can use Flowise&#8217;s deployment options to get it ready for production use.<\/p>\n<\/div><div class=\"fusion-image-element \" style=\"--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-6 hover-type-none\"><img decoding=\"async\" title=\"olllama_wokrflow\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/olllama_wokrflow.avif\" alt class=\"img-responsive wp-image-1192\"\/><\/span><\/div><div class=\"fusion-title title fusion-title-20 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Deployment<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-23\"><p>There are 5 options for deployment (<strong>&lt;\/&gt; button<\/strong>). Flowise makes it really easy to embed your chatbots into websites. You can choose from a popup widget that floats on your page, a fullpage dedicated chat interface, or if you&#8217;re using React, there are specific React components for both popup and fullpage implementations.<\/p>\n<p>The embedding code is pretty straightforward &#8211; just import the Flowise embed script and initialize it with your chatflow ID:<\/p>\n<\/div><div class=\"fusion-image-element \" style=\"--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\" fusion-imageframe imageframe-none imageframe-7 hover-type-none\"><img decoding=\"async\" width=\"1\" height=\"1\" title=\"embedchatfloworagentflow\" src=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/embedchatfloworagentflow.png\" alt class=\"img-responsive wp-image-1221\"\/><\/span><\/div><div class=\"fusion-text fusion-text-24\" style=\"--awb-margin-top:20px;\"><p>You also get some nice advanced features like direct public links for sharing, custom authentication if you need access controls, theme customization to match your brand, and custom JavaScript event handling for more complex integrations.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-21 fusion-sep-none fusion-title-text fusion-title-size-three\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h3>Troubleshooting<\/h3><\/h3><\/div><div class=\"fusion-text fusion-text-25\"><h3 id=\"common-issues-you-might-run-into\">Common Issues You Might Run Into<\/h3>\n<p><strong>Node.js Version Problems:<\/strong> If you&#8217;re getting errors about Node.js being too old, you&#8217;ll need to update it. Run these commands to get a newer version:<\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-8 > .CodeMirror, .fusion-syntax-highlighter-8 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-8 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_8\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_8\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_8\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\">curl -fsSL https:\/\/deb.nodesource.com\/setup_18.x | sudo -E bash -\nsudo apt-get install -y nodejs<\/textarea><\/div><div class=\"fusion-text fusion-text-26\" style=\"--awb-margin-top:10px;\"><p><strong>Memory Issues:<\/strong> Running out of memory with &#8220;JavaScript heap out of memory&#8221; errors? Increase the memory limit before starting Flowise:<\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-9 > .CodeMirror, .fusion-syntax-highlighter-9 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-9 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_9\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_9\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_9\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\">export NODE_OPTIONS=\"--max-old-space-size=4096\"\nflowise start<\/textarea><\/div><div class=\"fusion-text fusion-text-27\" style=\"--awb-margin-top:10px;\"><p><strong>GPU Not Working:<\/strong> If your GPU isn&#8217;t being detected, check the status with tegrastats and make sure Docker has the NVIDIA runtime enabled by restarting the service: sudo systemctl restart docker<\/p>\n<p><strong>Port Conflicts:<\/strong> If port 3000 is already in use, find what&#8217;s using it with sudo lsof -i :3000, kill that process with sudo kill -9 , or just start Flowise on a different port: flowise start &#8211;PORT=3001<\/p>\n<p><strong>Permission Problems:<\/strong> File permission issues? Fix them with:<\/p>\n<\/div><style type=\"text\/css\" scopped=\"scopped\">.fusion-syntax-highlighter-10 > .CodeMirror, .fusion-syntax-highlighter-10 > .CodeMirror .CodeMirror-gutters {background-color:#2d3748;}<\/style><div class=\"fusion-syntax-highlighter-container fusion-syntax-highlighter-10 fusion-syntax-highlighter-theme-dark\" style=\"opacity:0;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;font-size:14px;border-width:1px;border-style:solid;border-color:rgba(242,243,245,0);\"><div class=\"syntax-highlighter-copy-code\"><span class=\"syntax-highlighter-copy-code-title\" data-id=\"fusion_syntax_highlighter_10\" style=\"font-size:14px;\">Copy to Clipboard<\/span><\/div><label for=\"fusion_syntax_highlighter_10\" class=\"screen-reader-text\">Syntax Highlighter<\/label><textarea class=\"fusion-syntax-highlighter-textarea\" id=\"fusion_syntax_highlighter_10\" data-readOnly=\"nocursor\" data-lineNumbers=\"\" data-lineWrapping=\"\" data-theme=\"oceanic-next\" data-mode=\"text\/x-sh\">sudo chown -R $USER:$USER ~\/.flowise\nchmod -R 755 ~\/.flowise<\/textarea><\/div><div class=\"fusion-title title fusion-title-22 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Docker Issues<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-28\"><p>If you&#8217;re running Flowise in Docker and having problems, here are some quick fixes:<\/p>\n<p>Check what&#8217;s happening with <code>docker logs flowise<\/code>, restart the container with <code>docker restart flowise<\/code>, or see all container statuses with <code>docker ps -a<\/code>. If things are really broken, you can remove the container completely with <code>docker rm -f flowise<\/code> and recreate it with your original docker run command.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-23 fusion-sep-none fusion-title-text fusion-title-size-four\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4 id=\"performance-problems\" data-source-line=\"311\">Performance Problems<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-29\"><p><strong>Slow responses?<\/strong> Try using local models instead of API calls, reduce the context window size, or optimize your RAG chunk sizes if you&#8217;re doing document processing.<\/p>\n<p><strong>Memory usage too high?<\/strong> Reduce the buffer window memory size, switch to smaller models, or clear your browser cache which sometimes helps.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-24 fusion-sep-none fusion-title-text fusion-title-size-four\" style=\"--awb-margin-top:-10px;\"><h4 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\"><h4>Getting Help<\/h4><\/h4><\/div><div class=\"fusion-text fusion-text-30\"><p>If you&#8217;re stuck, the Flowise community is pretty active. Check out the <a style=\"color: #38c92e;\" href=\"https:\/\/github.com\/FlowiseAI\/Flowise\/issues\">GitHub Issues<\/a> for bug reports and feature requests. The <a style=\"color: #38c92e;\" href=\"https:\/\/docs.flowiseai.com\/\">official documentation<\/a> is also quite comprehensive. For Jetson-specific issues, the <a style=\"color: #38c92e;\" href=\"https:\/\/forums.developer.nvidia.com\/c\/agx-autonomous-machines\/jetson-embedded-systems\/70\">NVIDIA Developer Forums<\/a> are your best bet.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":1592,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-1187","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-generative-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.3.1 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Jetson Generative AI - Flowise - OpenZeka EN Blog<\/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:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jetson Generative AI - Flowise\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\" \/>\n<meta property=\"og:site_name\" content=\"OpenZeka EN Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/profile.php?id=61576911356211\" \/>\n<meta property=\"article:published_time\" content=\"2025-08-07T13:08:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-27T13:32:01+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Enhar\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Aetherixnl\" \/>\n<meta name=\"twitter:site\" content=\"@Aetherixnl\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Enhar\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\"},\"author\":{\"name\":\"Enhar\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/#\/schema\/person\/62c964376839cf2c4b2eb682bf14d3cb\"},\"headline\":\"Jetson Generative AI &#8211; Flowise\",\"datePublished\":\"2025-08-07T13:08:45+00:00\",\"dateModified\":\"2026-03-27T13:32:01+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\"},\"wordCount\":6931,\"publisher\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg\",\"articleSection\":[\"Generative AI\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\",\"url\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\",\"name\":\"Jetson Generative AI - Flowise - OpenZeka EN Blog\",\"isPartOf\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg\",\"datePublished\":\"2025-08-07T13:08:45+00:00\",\"dateModified\":\"2026-03-27T13:32:01+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage\",\"url\":\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg\",\"contentUrl\":\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg\",\"width\":1920,\"height\":1080},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/blog.openzeka.com\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jetson Generative AI &#8211; Flowise\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/#website\",\"url\":\"https:\/\/blog.openzeka.com\/en\/\",\"name\":\"Aetherix B.V.\",\"description\":\"NVIDIA Jetson Developer Kits &amp;Edge Devices\",\"publisher\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/blog.openzeka.com\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/#organization\",\"name\":\"Aetherix B.V.\",\"url\":\"https:\/\/blog.openzeka.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/06\/aetherix-site-icon.webp\",\"contentUrl\":\"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/06\/aetherix-site-icon.webp\",\"width\":421,\"height\":398,\"caption\":\"Aetherix B.V.\"},\"image\":{\"@id\":\"https:\/\/blog.openzeka.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/profile.php?id=61576911356211\",\"https:\/\/x.com\/Aetherixnl\",\"https:\/\/www.instagram.com\/aetherixnl\/\",\"https:\/\/www.tiktok.com\/@aetherixnl\"],\"description\":\"Aetherix provides a full range of NVIDIA Jetson-based edge AI solutions\u2014including Developer Kits, AI Kits, industrial-grade Carrier Boards, and fully integrated Boxed AI Systems.\",\"email\":\"info@aetherix.com\",\"legalName\":\"Aetherix B.V.\",\"vatID\":\"NL867727688B01\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/#\/schema\/person\/62c964376839cf2c4b2eb682bf14d3cb\",\"name\":\"Enhar\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/blog.openzeka.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/189d567adce3bb0c8d438b4586bf861ec04980f2e451003975e3cf871781d0f4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/189d567adce3bb0c8d438b4586bf861ec04980f2e451003975e3cf871781d0f4?s=96&d=mm&r=g\",\"caption\":\"Enhar\"}}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Jetson Generative AI - Flowise - OpenZeka EN Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/","og_locale":"en_US","og_type":"article","og_title":"Jetson Generative AI - Flowise","og_url":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/","og_site_name":"OpenZeka EN Blog","article_publisher":"https:\/\/www.facebook.com\/profile.php?id=61576911356211","article_published_time":"2025-08-07T13:08:45+00:00","article_modified_time":"2026-03-27T13:32:01+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg","type":"image\/jpeg"}],"author":"Enhar","twitter_card":"summary_large_image","twitter_creator":"@Aetherixnl","twitter_site":"@Aetherixnl","twitter_misc":{"Written by":"Enhar","Est. reading time":"8 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#article","isPartOf":{"@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/"},"author":{"name":"Enhar","@id":"https:\/\/blog.openzeka.com\/en\/#\/schema\/person\/62c964376839cf2c4b2eb682bf14d3cb"},"headline":"Jetson Generative AI &#8211; Flowise","datePublished":"2025-08-07T13:08:45+00:00","dateModified":"2026-03-27T13:32:01+00:00","mainEntityOfPage":{"@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/"},"wordCount":6931,"publisher":{"@id":"https:\/\/blog.openzeka.com\/en\/#organization"},"image":{"@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage"},"thumbnailUrl":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg","articleSection":["Generative AI"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/","url":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/","name":"Jetson Generative AI - Flowise - OpenZeka EN Blog","isPartOf":{"@id":"https:\/\/blog.openzeka.com\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage"},"image":{"@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage"},"thumbnailUrl":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg","datePublished":"2025-08-07T13:08:45+00:00","dateModified":"2026-03-27T13:32:01+00:00","breadcrumb":{"@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#primaryimage","url":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg","contentUrl":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/08\/27.jpg","width":1920,"height":1080},{"@type":"BreadcrumbList","@id":"https:\/\/blog.openzeka.com\/en\/jetson-generative-ai-flowise\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/blog.openzeka.com\/en\/"},{"@type":"ListItem","position":2,"name":"Jetson Generative AI &#8211; Flowise"}]},{"@type":"WebSite","@id":"https:\/\/blog.openzeka.com\/en\/#website","url":"https:\/\/blog.openzeka.com\/en\/","name":"Aetherix B.V.","description":"NVIDIA Jetson Developer Kits &amp;Edge Devices","publisher":{"@id":"https:\/\/blog.openzeka.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/blog.openzeka.com\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/blog.openzeka.com\/en\/#organization","name":"Aetherix B.V.","url":"https:\/\/blog.openzeka.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/blog.openzeka.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/06\/aetherix-site-icon.webp","contentUrl":"https:\/\/blog.openzeka.com\/en\/wp-content\/uploads\/2025\/06\/aetherix-site-icon.webp","width":421,"height":398,"caption":"Aetherix B.V."},"image":{"@id":"https:\/\/blog.openzeka.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/profile.php?id=61576911356211","https:\/\/x.com\/Aetherixnl","https:\/\/www.instagram.com\/aetherixnl\/","https:\/\/www.tiktok.com\/@aetherixnl"],"description":"Aetherix provides a full range of NVIDIA Jetson-based edge AI solutions\u2014including Developer Kits, AI Kits, industrial-grade Carrier Boards, and fully integrated Boxed AI Systems.","email":"info@aetherix.com","legalName":"Aetherix B.V.","vatID":"NL867727688B01"},{"@type":"Person","@id":"https:\/\/blog.openzeka.com\/en\/#\/schema\/person\/62c964376839cf2c4b2eb682bf14d3cb","name":"Enhar","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/blog.openzeka.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/189d567adce3bb0c8d438b4586bf861ec04980f2e451003975e3cf871781d0f4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/189d567adce3bb0c8d438b4586bf861ec04980f2e451003975e3cf871781d0f4?s=96&d=mm&r=g","caption":"Enhar"}}]}},"_links":{"self":[{"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/posts\/1187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/comments?post=1187"}],"version-history":[{"count":25,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/posts\/1187\/revisions"}],"predecessor-version":[{"id":1561,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/posts\/1187\/revisions\/1561"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/media\/1592"}],"wp:attachment":[{"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/media?parent=1187"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/categories?post=1187"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.openzeka.com\/en\/wp-json\/wp\/v2\/tags?post=1187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}