{ "id": "78rVOQa5gbWxRnJN", "meta": { "templateCredsSetupCompleted": true }, "name": "Turn any website into an AI customer support chatbot (OpenAI + Pinecone)", "tags": [], "nodes": [ { "id": "8ecff878-cb1f-4e9c-98a0-3727269aee97", "name": "When clicking \u2018Execute workflow\u2019", "type": "n8n-nodes-base.manualTrigger", "position": [ -1904, 208 ], "parameters": {}, "typeVersion": 1 }, { "id": "23adecea-f54b-49c7-8ac6-75df99bcc469", "name": "Embeddings OpenAI", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 592, 384 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "673fa27a-9f5d-4a3c-8807-64c26aaaa576", "name": "Map Website URLs", "type": "@mendable/n8n-nodes-firecrawl.firecrawl", "position": [ -1632, 208 ], "parameters": { "url": "", "sitemap": "only", "operation": "map", "requestOptions": {}, "includeSubdomains": true }, "credentials": { "firecrawlApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1 }, { "id": "d17427ae-ce8c-4015-af2d-c20a44acc11c", "name": "Filter and Normalize URLs", "type": "n8n-nodes-base.code", "position": [ -1296, 208 ], "parameters": { "jsCode": "// input: { success: true, links: [ { url: \"...\" } ] }\n\nconst links = $json.links || [];\nconst seen = new Set();\n\nconst blockedKeywords = [\n \"/press-blog\",\n \"/newsletter\",\n \"/assets-vault\",\n \"press\",\n \"gallery\",\n \"project\",\n \"newsletter\"\n];\n\nreturn links\n .filter(link => {\n let url = link.url;\n if (!url) return false;\n\n // \u274c Remove blocked keywords\n for (const keyword of blockedKeywords) {\n if (url.includes(keyword)) return false;\n }\n\n // \u274c Remove XML files\n if (url.includes(\".xml\")) return false;\n\n // \ud83d\udd04 Normalize trailing slash\n url = url.endsWith(\"/\") ? url.slice(0, -1) : url;\n\n // \u274c Remove duplicates\n if (seen.has(url)) return false;\n seen.add(url);\n\n // Save normalized URL back\n link.url = url;\n return true;\n })\n .map(link => {\n return {\n url: link.url\n };\n });\n" }, "typeVersion": 2 }, { "id": "bd51e7d4-485c-4759-b4f1-63b2d1219c35", "name": "Process URLs One by One", "type": "n8n-nodes-base.splitInBatches", "position": [ -960, 208 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "37897ec6-0cb2-481a-a7ad-15046192720d", "name": "Fetch Page Content", "type": "n8n-nodes-base.httpRequest", "position": [ -624, 128 ], "parameters": { "url": "={{ $json.url }}", "options": { "redirect": { "redirect": { "followRedirects": true } } } }, "retryOnFail": true, "typeVersion": 3, "continueOnFail": true }, { "id": "ddca10bf-eaca-47a3-8a8a-64ad2e247bfc", "name": "Extract HTML and URL", "type": "n8n-nodes-base.set", "position": [ -368, 128 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "f84fa14c-2e29-46ef-a914-2267eb52b815", "name": "html", "type": "string", "value": "={{ $json.data ?? $json.html ?? \"\" }}" }, { "id": "096f51e1-e470-4fde-8d62-3338ffcc4f6b", "name": "url", "type": "string", "value": "={{ $json.url ?? $('Process URLs One by One').item.json.url }}" } ] } }, "typeVersion": 3.4 }, { "id": "e5da4265-7bb0-4b01-b6dd-97ede548b7c3", "name": "Clean HTML to Text", "type": "n8n-nodes-base.code", "position": [ -176, 128 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "const html = $json.html;\n\n// VERY simple cleaner (replace later with readability)\nconst text = html\n .replace(//gi, '')\n .replace(//gi, '')\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n\nreturn {\n url: $json.url,\n project_id: $json.project_id,\n text\n};\n" }, "typeVersion": 2 }, { "id": "f5c3ea61-c855-47e2-9110-3242ca6c0ce3", "name": "Check Text Length", "type": "n8n-nodes-base.if", "position": [ 48, 128 ], "parameters": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "aa3e5022-2d6d-43f6-bf87-9de112a3345f", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{$json.text.length > 50}}", "rightValue": "" } ] }, "looseTypeValidation": true }, "typeVersion": 2.3 }, { "id": "ba89389e-2dcc-4aa1-8f2a-7746641df62c", "name": "Split Text into Chunks", "type": "n8n-nodes-base.code", "position": [ 272, 112 ], "parameters": { "jsCode": "const raw = $json.text || \"\";\nconst text = raw.replace(/\\s+/g, \" \").trim(); // clean whitespace\nconst chunkSize = 1000;\nconst overlap = 200;\n\nconst chunks = [];\nlet i = 0;\n\nwhile (i < text.length) {\n const chunk = text.slice(i, i + chunkSize).trim();\n\n // Only save useful chunks\n if (chunk.length > 50) {\n chunks.push({\n content: chunk,\n url: $json.url,\n project_id: $json.project_id\n });\n }\n\n i += chunkSize - overlap;\n}\n\nreturn chunks;\n" }, "typeVersion": 2 }, { "id": "a9947307-f9f7-4280-860f-a9f18c81e530", "name": "Store in Vector Database", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ 624, 192 ], "parameters": { "mode": "insert", "options": { "pineconeNamespace": "" }, "pineconeIndex": { "__rl": true, "mode": "list", "value": "" } }, "typeVersion": 1.3 }, { "id": "faeb8ce7-2e62-4782-840c-fde4f70d1be0", "name": "Document Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ 784, 400 ], "parameters": { "options": { "metadata": { "metadataValues": [ { "name": "url", "value": "={{ $json.url }}" }, { "name": "content", "value": "={{ $json.content }}" } ] } } }, "typeVersion": 1.1 }, { "id": "f13244de-8266-41a1-a918-474ab0021376", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -2720, 0 ], "parameters": { "width": 592, "height": 688, "content": "## Turn any website into an AI\u2011powered customer\u2011support chatbot (Open\u202fAI\u202f+\u202fPinecone)\n\n### How it works\n1\ufe0f\u20e3 **Discover URLs** \u2013 Firecrawl reads the sitemap (including sub\u2011domains) and returns every page URL. \n2\ufe0f\u20e3 **Clean & de\u2011duplicate** \u2013 JavaScript removes unwanted paths (press\u2011blog, newsletter, assets, .xml), trailing slashes and duplicate links. \n3\ufe0f\u20e3 **Controlled crawling** \u2013 the remaining URLs are processed one\u2011by\u2011one, fetching the raw HTML. \n4\ufe0f\u20e3 **HTML \u2192 plain text** \u2013 script/style tags are stripped and the rest of the markup is turned into readable text. \n5\ufe0f\u20e3 **Validate & chunk** \u2013 pages shorter than 50\u202fchars are ignored; the rest is split into 1\u202f000\u2011char chunks with a 200\u2011char overlap. \n6\ufe0f\u20e3 **Embed & store** \u2013 each chunk is turned into an OpenAI embedding and up\u2011serted into a Pinecone index (namespace = your\u2011site\u2011name). \n7\ufe0f\u20e3 **Chat endpoint** \u2013 a LangChain agent receives a user message, decides (via the system prompt) whether to call the Pinecone retrieval tool, and replies **only** with information that actually exists in the vector store.\n\n### Setup steps\n1\ufe0f\u20e3 Add your **Firecrawl** API key (Credentials\u202f\u2192\u202fFirecrawl). \n2\ufe0f\u20e3 Add your **OpenAI** API key (Credentials\u202f\u2192\u202fOpenAI). \n3\ufe0f\u20e3 Create a **Pinecone** index (1536 dimensions for `text\u2011embedding\u2011ada\u2011002`). \n4\ufe0f\u20e3 Put the index name and a namespace into the \u201cStore in Vector Database\u201d node. \n5\ufe0f\u20e3 Replace `` in the *Map Website URLs* node. \n6\ufe0f\u20e3 Execute the workflow \u2013 it will fill the vector store. \n7\ufe0f\u20e3 Deploy the **Chat Trigger** webhook (copy the URL) and embed it in your front\u2011end.\n\nWhen the index is populated the bot will answer any product, policy or FAQ question without hallucinations.\n" }, "typeVersion": 1 }, { "id": "18ac8782-ba5b-41e6-b45c-161b329c1b7f", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1696, 80 ], "parameters": { "color": 2, "height": 304, "content": "URL Discovery \u2013 Firecrawl reads the sitemap (including sub\u2011domains) and returns every page URL.\n" }, "typeVersion": 1 }, { "id": "026d9947-3d50-40f3-a6fd-369101cde755", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -1376, 80 ], "parameters": { "color": 2, "width": 560, "height": 304, "content": "## URL Cleaning & Batching\nJavaScript removes press\u2011blog, newsletter, assets\u2011vault, .xml files, trailing slashes and duplicate URLs. \n\nThen SplitInBatches processes the list one\u2011by\u2011one.\n" }, "typeVersion": 1 }, { "id": "27cd19ce-584d-4f2a-9cf3-af3e6c7644d8", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -704, 48 ], "parameters": { "color": 3, "width": 672, "height": 240, "content": "Page Fetch & Text Extraction \u2013 HTTP request gets the HTML, a Set node normalises fields, and a small JS step strips script/style tags and converts the markup to plain readable text.\n" }, "typeVersion": 1 }, { "id": "0d1813dd-26c7-4db4-98b0-07bece863767", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ -1856, 752 ], "parameters": { "mode": "webhook", "public": true, "options": { "allowedOrigins": "*" }, "availableInChat": true }, "typeVersion": 1.1 }, { "id": "c8283ada-3684-4a1e-b26b-f7c341730c83", "name": "Chat Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ -1504, 976 ], "parameters": { "contextWindowLength": 10 }, "typeVersion": 1.3 }, { "id": "953a61ab-99c4-437d-b180-9656dfc9ccc6", "name": "Customer Support Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -1600, 752 ], "parameters": { "options": { "maxIterations": 10, "systemMessage": "=You are **Alicia**, an AI customer support assistant for our company.\n\nToday's date is {{ $now.format('yyyy-MM-dd') }}.\nUse this date as the only reference for relative time.\n\n========================\nPRIMARY RULE\n========================\n\nAll business-related information MUST come from tools.\n\nThis includes:\n- Products\n- Services\n- Company information\n- Website content\n- Policies and FAQs\n- Pricing and availability\n- Contact details\n\nDo NOT answer these from memory or assumptions.\nIf a relevant tool exists, you MUST use it.\n\n========================\nPINECONE USAGE (CRITICAL)\n========================\n\nUse the Pinecone vector store whenever the user asks about:\n- Products or services\n- What the company offers\n- Policies, pricing, FAQs\n- Company or website information\n\nDo NOT use Pinecone for:\n- General greetings\n- Small talk\n- Personal details\n- Appointment scheduling\n\nIf Pinecone returns:\n- No results\n- Empty data\n- Errors\n\nReply:\n\"I could not find that information. Would you like me to create a support ticket for you?\"\n\n========================\nMEMORY USAGE\n========================\n\nMemory may only be used for:\n- Name\n- Email\n- Phone number\n\nAnd only after:\n- A successful booking or confirmed interaction.\n\nNever use memory for:\n- Products\n- Services\n- Company info\n- Availability\n\n========================\nGREETING RULE\n========================\n\nIf the user only says:\n\"Hi\", \"Hello\", or \"Hey\"\n\nReply exactly:\n\"Hi, how can I help you today?\"\n\nNo tools.\nNo extra text.\n\n========================\nRESPONSE RULES\n========================\n\n- Be friendly and conversational.\n- Use short, clear sentences.\n- Never mention internal tools.\n- Never invent information.\n- Never explain your reasoning.\n- Never say \"as an AI\".\n\n========================\nLINK RULE\n========================\n\nIf a link is included:\n- Use Markdown format: [Link text](URL)\n- Never show raw URLs.\n- Links must come from tool output only.\n\n========================\nFAILURE RULE\n========================\n\nIf any required tool fails:\n\nReply exactly:\n\"I could not find that information. Would you like me to create a support ticket for you?\"\n\nNo variations.\nNo extra text.\n\n========================\nEND\n========================\n", "returnIntermediateSteps": false } }, "typeVersion": 3 }, { "id": "a7128a69-d4f9-43e2-af49-3c6b903a0719", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -1600, 1168 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini", "cachedResultName": "gpt-4.1-mini" }, "options": {}, "builtInTools": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "f1b6383c-14c4-4562-b89f-3c50715e5fca", "name": "OpenAI Embeddings", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ -1328, 1152 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "829e903c-08f8-433f-9650-456e3f267f14", "name": "Pinecone Vector Storage", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ -1376, 976 ], "parameters": { "mode": "retrieve-as-tool", "topK": 10, "options": { "pineconeNamespace": "" }, "pineconeIndex": { "__rl": true, "mode": "list", "value": "" }, "toolDescription": "=Use this tool whenever the user asks anything about Blushu, our services, company info, website content, product/service details, policies, FAQs, contact information, pricing, or questions that require knowledge from the company knowledge base. \n" }, "typeVersion": 1.3 }, { "id": "4a195c24-4dbe-47d4-8f0d-9bd64630f55a", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 224, -16 ], "parameters": { "color": 4, "width": 688, "height": 528, "content": "## Chunking & Embedding\n\nIf the cleaned text >\u202f50\u202fchars it is split into 1\u202f000\u2011char chunks (200\u2011char overlap). Each chunk is sent to OpenAI embeddings and up\u2011serted into Pinecone.\n" }, "typeVersion": 1 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "f558e55f-3dbe-4138-8327-6abcb635924c", "connections": { "Chat Memory": { "ai_memory": [ [ { "node": "Customer Support Agent", "type": "ai_memory", "index": 0 } ] ] }, "Document Loader": { "ai_document": [ [ { "node": "Store in Vector Database", "type": "ai_document", "index": 0 } ] ] }, "Map Website URLs": { "main": [ [ { "node": "Filter and Normalize URLs", "type": "main", "index": 0 } ] ] }, "Check Text Length": { "main": [ [ { "node": "Split Text into Chunks", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Store in Vector Database", "type": "ai_embedding", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Customer Support Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Embeddings": { "ai_embedding": [ [ { "node": "Pinecone Vector Storage", "type": "ai_embedding", "index": 0 } ] ] }, "Clean HTML to Text": { "main": [ [ { "node": "Check Text Length", "type": "main", "index": 0 } ] ] }, "Fetch Page Content": { "main": [ [ { "node": "Extract HTML and URL", "type": "main", "index": 0 } ] ] }, "Extract HTML and URL": { "main": [ [ { "node": "Clean HTML to Text", "type": "main", "index": 0 } ] ] }, "Split Text into Chunks": { "main": [ [ { "node": "Store in Vector Database", "type": "main", "index": 0 } ] ] }, "Pinecone Vector Storage": { "ai_tool": [ [ { "node": "Customer Support Agent", "type": "ai_tool", "index": 0 } ] ] }, "Process URLs One by One": { "main": [ [], [ { "node": "Fetch Page Content", "type": "main", "index": 0 } ] ] }, "Store in Vector Database": { "main": [ [ { "node": "Process URLs One by One", "type": "main", "index": 0 } ] ] }, "Filter and Normalize URLs": { "main": [ [ { "node": "Process URLs One by One", "type": "main", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "Customer Support Agent", "type": "main", "index": 0 } ] ] }, "When clicking \u2018Execute workflow\u2019": { "main": [ [ { "node": "Map Website URLs", "type": "main", "index": 0 } ] ] } } }