{"workflow":{"id":13248,"name":"Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone","views":115,"recentViews":0,"totalViews":115,"createdAt":"2026-02-07T09:37:40.997Z","description":"## This n8n template transforms any website into a fully functional RAG-ready chatbot knowledge base. It crawls sites using the AI Training Data Scraper community node, chunks content intelligently, generates embeddings, and stores everything in Pinecone for semantic search-powered conversations. Perfect for turning documentation, blogs, or marketing sites into instant AI chat assistants.\n\n**Use cases**\n- Convert documentation sites into intelligent support chatbots\n- Build product knowledge bases from marketing websites\n- Create internal search tools from company intranets\n- Power customer support agents with scraped competitor analysis\n- Generate training data for fine-tuning company-specific AI models\n\n**Good to know**\nThis workflow connects to external services requiring API credentials. Works on n8n Cloud and self-hosted instances. Initial setup takes 10 minutes including community node installation.\n\n### Requirements\n- n8n Cloud or self-hosted instance\n- Community Node\n- Apify API key\n- OpenAI API key \n- Pinecone account & index \n\n### Customising this workflow\n- Replace Pinecone with Qdrant, Weaviate, or pgvector for self-hosted vector storage\n- Swap OpenAI embeddings with Ollama or Hugging Face for zero-cost processing\n- Add content filtering by language, code presence, or section type\n- Extend with conversation memory using Redis or Postgres\n- Build a frontend dashboard for managing multiple website indexes\n- Add multi-site RAG (query across multiple domains simultaneously)\n","workflow":{"meta":{"instanceId":"bb1d36a4b9c034f5ada4b0425a451ca871ea9dee2c7b45d75d6a4abf14c34467"},"nodes":[{"id":"92907f4d-8072-41f7-8518-8fb536760a71","name":"Process Chunks","type":"n8n-nodes-base.code","position":[3600,1616],"parameters":{"jsCode":"// Extract and flatten chunks from Apify scraper output\nconst items = [];\n\nfor (const item of $input.all()) {\n  const data = item.json;\n  \n  // Handle both single page and batch outputs\n  const chunks = data.chunks || [];\n  \n  for (const chunk of chunks) {\n    items.push({\n      // Vector database fields\n      id: chunk.id,\n      text: chunk.text,\n      \n      // Page metadata\n      pageUrl: chunk.metadata.source_url,\n      pageTitle: chunk.metadata.page_title,\n      websiteDomain: new URL(chunk.metadata.source_url).hostname,\n      \n      // Chunk metadata\n      chunkIndex: chunk.metadata.chunk_index,\n      tokenCount: chunk.metadata.token_count,\n      startPosition: chunk.metadata.start_position,\n      endPosition: chunk.metadata.end_position,\n      \n      // Content classification\n      sectionTitle: chunk.metadata.section_title || 'No Section',\n      headingLevel: chunk.metadata.heading_level,\n      contentType: chunk.metadata.content_type,\n      hasCode: chunk.metadata.has_code,\n      language: chunk.metadata.language,\n      keywords: chunk.metadata.keywords.join(', '),\n      \n      // Crawl information\n      crawledAt: data.crawl_info.crawled_at,\n      crawlDepth: data.crawl_info.crawl_depth\n    });\n  }\n}\n\nreturn items;"},"typeVersion":2},{"id":"ad7eb840-af2e-4e79-a2b9-64b2b1a41a10","name":"Split In Batches","type":"n8n-nodes-base.splitInBatches","position":[3856,1616],"parameters":{"options":{},"batchSize":50},"typeVersion":3},{"id":"8a221c5b-9cbe-4390-bc71-087bf964db81","name":"OpenAI - Create Embeddings","type":"@n8n/n8n-nodes-langchain.openAi","position":[4160,1600],"parameters":{"resource":"embedding"},"typeVersion":1.3},{"id":"017fc572-2373-4f58-b0ec-7fe8ff30cde6","name":"Combine Embedding with Data","type":"n8n-nodes-base.code","position":[4416,1600],"parameters":{"jsCode":"// Combine embedding with metadata\nconst items = $input.all();\nconst result = [];\n\nfor (const item of items) {\n  result.push({\n    ...item.json,\n    embedding: item.json.data[0].embedding\n  });\n}\n\nreturn result;"},"typeVersion":2},{"id":"93d44390-1890-4810-81f9-faa35974720e","name":"AI Training Scraper","type":"n8n-nodes-ai-training-scraper.aiTrainingScraper","position":[3328,1616],"parameters":{"startUrls":"https://docs.n8n.io/workflows/","additionalOptions":{}},"typeVersion":1},{"id":"0096a1f0-a838-4f8f-b5c4-2ae6c9d98327","name":"Pinecone Vector Store","type":"@n8n/n8n-nodes-langchain.vectorStorePinecone","position":[4688,1600],"parameters":{"mode":"insert","options":{},"pineconeIndex":{"__rl":true,"mode":"list","value":""}},"credentials":{"pineconeApi":{"id":"u6dW8Zy5r67yJEx9","name":"PineconeApi account"}},"typeVersion":1.3},{"id":"34152b67-777b-4658-8472-a611aa3bbec6","name":"When clicking ‘Execute workflow’","type":"n8n-nodes-base.manualTrigger","position":[3040,1616],"parameters":{},"typeVersion":1},{"id":"4062bc35-76b0-4e8b-93b4-09c4be4cf76c","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[2992,1488],"parameters":{"width":768,"height":448,"content":"## Website Capture\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n- This block then uses the AI Training Data Scraper to crawl pages and extract structured content.\n\n### User Action Required:\n- Create an Apify account, get an API token from console.apify.com, and paste it into the Apify credential section in n8n.\n"},"typeVersion":1},{"id":"5901c9ba-7565-4d9d-b59c-06043422b6d1","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[4064,1488],"parameters":{"width":944,"height":528,"content":"## Embedding & Vector Storage\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n- Generates semantic embeddings for each chunk and merges them with rich metadata, preserving full context for retrieval and citation.\n- Upserts all embeddings into the vector store, grouped by website domain, making the site searchable via semantic similarity.\n\n### User Action Required:\n- Create an OpenAI API key from platform.openai.com/account/api-keys and add it in the credential secton.\n- Create a Pinecone account and index at pinecone.io, generate an API key, and add it as a Pinecone node."},"typeVersion":1},{"id":"a199578c-e2f7-4b4e-9f37-8f39efa4e3de","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[2224,1472],"parameters":{"color":4,"width":480,"height":448,"content":"## Website RAGFlow\nThis workflow turns any website into a RAG‑ready knowledge base for AI chatbots.\nIt crawls the site, cleans and chunks content, generates embeddings, and stores them in a vector database for fast, semantic retrieval.\n\nIt uses a custom community node to power the AI Training Data Scraper. To enable it, go to Settings → Community Nodes in n8n and add the package name n8n-nodes-ai-training-scraper. After installing, open the node and configure your credentials.\n\nSetup is quick and runs on autopilot once configured, transforming your documentation or marketing sites into a chat‑ready knowledge base.\n\n\n\n\n\n\n\nCreated by Blukaze Automations | blukaze.com"},"typeVersion":1}],"pinData":{},"connections":{"Process Chunks":{"main":[[{"node":"Split In Batches","type":"main","index":0}]]},"Split In Batches":{"main":[[{"node":"OpenAI - Create Embeddings","type":"main","index":0}],[]]},"AI Training Scraper":{"main":[[{"node":"Process Chunks","type":"main","index":0}]]},"OpenAI - Create Embeddings":{"main":[[{"node":"Combine Embedding with Data","type":"main","index":0}]]},"Combine Embedding with Data":{"main":[[{"node":"Pinecone Vector Store","type":"main","index":0}]]},"When clicking ‘Execute workflow’":{"main":[[{"node":"AI Training Scraper","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":10,"nodeTypes":{"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.stickyNote":{"count":3},"n8n-nodes-base.manualTrigger":{"count":1},"n8n-nodes-base.splitInBatches":{"count":1},"@n8n/n8n-nodes-langchain.openAi":{"count":1},"@n8n/n8n-nodes-langchain.vectorStorePinecone":{"count":1},"n8n-nodes-ai-training-scraper.aiTrainingScraper":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Paul Abraham","username":"hellopaul","bio":"Helping businesses and individuals optimize operations and reduce costs with custom automation, n8n workflows, APIs, and AI-powered systems 👇","verified":true,"links":["https://blukaze.com"],"avatar":"https://gravatar.com/avatar/6618205accc6319aa7a19af096e0da4afabd7b6141305d0e1675e9f38d5485ea?r=pg&d=retro&size=200"},"nodes":[{"id":39,"icon":"fa:sync","name":"n8n-nodes-base.splitInBatches","codex":{"data":{"alias":["Loop","Concatenate","Batch","Split","Split In 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Transformation"]}}},"group":"[\"transform\"]","defaults":{"name":"Code"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iNTEyIiBoZWlnaHQ9IjUxMiIgdmlld0JveD0iMCAwIDUxMiA1MTIiIGZpbGw9Im5vbmUiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CjxnIGNsaXAtcGF0aD0idXJsKCNjbGlwMF8xMTcxXzQ0MSkiPgo8cGF0aCBkPSJNMTcwLjI4MyA0OEgxOTYuNUMyMDMuMTI3IDQ4IDIwOC41IDQyLjYyNzQgMjA4LjUgMzZWMTJDMjA4LjUgNS4zNzI1OCAyMDMuMTI3IDAgMTk2LjUgMEgxNzAuMjgzQzEyNi4xIDAgOTAuMjgzIDM1LjgxNzIgOTAuMjgzIDgwVjE3NkM5MC4yODMgMjA2LjkyOCA2NS4yMTA5IDIzMiAzNC4yODMgMjMySDIzQzE2LjM3MjYgMjMyIDExIDIzNy4zNzIgMTEgMjQ0VjI2OEMxMSAyNzQuNjI3IDE2LjM3MjQgMjgwIDIyLjk5OTYgMjgwTDM0LjI4MyAyODBDNjUuMjEwOSAyODAgOTAuMjgzIDMwNS4wNzIgOTAuMjgzIDMzNlY0NDBDOTAuMjgzIDQ3OS43NjQgMTIyLjUxOCA1MTIgMTYyLjI4MyA1MTJIMTk2LjVDMjAzLjEyNyA1MTIgMjA4LjUgNTA2LjYyNyAyMDguNSA1MDBWNDc2QzIwOC41IDQ2OS4zNzMgMjAzLjEyNyA0NjQgMTk2LjUgNDY0SDE2Mi4yODNDMTQ5LjAyOCA0NjQgMTM4LjI4MyA0NTMuMjU1IDEzOC4yODMgNDQwVjMzNkMxMzguMjgzIDMwOS4wMjIgMTI4LjAxMSAyODQuNDQzIDExMS4xNjQgMjY1Ljk2MUMxMDYuMTA5IDI2MC40MTYgMTA2LjEwOSAyNTEuNTg0IDExMS4xNjQgMjQ2LjAzOUMxMjguMDExIDIyNy41NTcgMTM4LjI4MyAyMDIuOTc4IDEzOC4yODMgMTc2VjgwQzEzOC4yODMgNjIuMzI2OSAxNTIuNjEgNDggMTcwLjI4MyA0OFoiIGZpbGw9IiNGRjk5MjIiLz4KPHBhdGggZD0iTTMwNSAzNkMzMDUgNDIuNjI3NCAzMTAuMzczIDQ4IDMxNyA0OEgzNDIuOTc5QzM2MC42NTIgNDggMzc0Ljk3OCA2Mi4zMjY5IDM3NC45NzggODBWMTc2QzM3NC45NzggMjAyLjk3OCAzODUuMjUxIDIyNy41NTcgNDAyLjA5OCAyNDYuMDM5QzQwNy4xNTMgMjUxLjU4NCA0MDcuMTUzIDI2MC40MTYgNDAyLjA5OCAyNjUuOTYxQzM4NS4yNTEgMjg0LjQ0MyAzNzQuOTc4IDMwOS4wMjIgMzc0Ljk3OCAzMzZWNDMyQzM3NC45NzggNDQ5LjY3MyAzNjAuNjUyIDQ2NCAzNDIuOTc5IDQ2NEgzMTdDMzEwLjM3MyA0NjQgMzA1IDQ2OS4zNzMgMzA1IDQ3NlY1MDBDMzA1IDUwNi42MjcgMzEwLjM3MyA1MTIgMzE3IDUxMkgzNDIuOTc5QzM4Ny4xNjEgNTEyIDQyMi45NzggNDc2LjE4MyA0MjIuOTc4IDQzMlYzMzZDNDIyLjk3OCAzMDUuMDcyIDQ0OC4wNTEgMjgwIDQ3OC45NzkgMjgwSDQ5MEM0OTYuNjI3IDI4MCA1MDIgMjc0LjYyOCA1MDIgMjY4VjI0NEM1MDIgMjM3LjM3MyA0OTYuNjI4IDIzMiA0OTAgMjMyTDQ3OC45NzkgMjMyQzQ0OC4wNTEgMjMyIDQyMi45NzggMjA2LjkyOCA0MjIuOTc4IDE3NlY4MEM0MjIuOTc4IDM1LjgxNzIgMzg3LjE2MSAwIDM0Mi45NzkgMEgzMTdDMzEwLjM3MyAwIDMwNSA1LjM3MjU4IDMwNSAxMlYzNloiIGZpbGw9IiNGRjk5MjIiLz4KPC9nPgo8ZGVmcz4KPGNsaXBQYXRoIGlkPSJjbGlwMF8xMTcxXzQ0MSI+CjxyZWN0IHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIiBmaWxsPSJ3aGl0ZSIvPgo8L2NsaXBQYXRoPgo8L2RlZnM+Cjwvc3ZnPgo="},"displayName":"Code","typeVersion":2,"nodeCategories":[{"id":5,"name":"Development"},{"id":9,"name":"Core 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