Workflow: Manualtrigger Workflow
Integrations: code, googleDrive, manualTrigger, noOp, set, stickyNote, stopAndError

{"meta": {"instanceId": "workflow-f572e607", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:48.990501", "updatedAt": "2025-09-29T07:07:48.990549", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "nodes": [{"id": "e2e61eae-6306-47db-908c-9d82758f6516", "name": "When clicking \"Execute Workflow\"", "type": "n8n-nodes-base.manualTrigger", "position": [-660, 40], "parameters": {}, "typeVersion": 1, "notes": "This manualTrigger node performs automated tasks as part of the workflow."}, {"id": "a45afcc0-d780-462a-9ed7-27daf01363a7", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-500, -140], "parameters": {"color": 7, "width": 1086.039382705461, "height": 728.4168721167887, "content": "## 1. Setup: Fetch file from Google Drive, split it into chunks and insert into a vector database\nNote that running this part multiple times will insert multiple copies into your DB"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "a3c56569-0728-4246-8d87-fa106d373566", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [-960, -60], "parameters": {"height": 350.7942096493649, "content": "# Try me out\n1. In Pinecone, create an index with 1536 dimensions and select it in the two vector store nodes\n2. Populate Pinecone by clicking the 'test workflow' button below\n3. Click the 'chat' button below and enter the following:\n\n_Which email provider does the creator of Bitcoin use?_"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "c1543b8a-dbea-42a9-a35e-e22ed86f565b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [-500, 640], "parameters": {"color": 7, "width": 1594, "height": 529, "content": "## 2. Chat with file, getting citations in reponse"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "5300d5dd-4186-4402-9442-88adab4e9a89", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [-480, -40], "parameters": {"color": 7, "width": 179.58883583572606, "height": 257.75985739596473, "content": "Will fetch the Bitcoin whitepaper, but you can change this"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "9f707f2b-6cb2-47b8-88fc-65cfd09b6cae", "name": "Pinecone Vector Store", "type": "n8n-nodes-base.noOp", "position": [80, 40], "parameters": {"mode": "insert", "options": {}, "pineconeIndex": {"__rl": true, "mode": "id", "value": "test-index"}}, "credentials": {"pineconeApi": {"id": "OHDlDbBkaPDgpnOY", "name": "PineconeApi account"}}, "typeVersion": 1, "notes": "This vectorStorePinecone node performs automated tasks as part of the workflow."}, {"id": "a32ac59e-efdc-4ff3-92dd-be794c2be7f7", "name": "When chat message received", "type": "n8n-nodes-base.noOp", "position": [-660, 760], "webhookId": "cd2703a7-f912-46fe-8787-3fb83ea116ab", "parameters": {"options": {}}, "typeVersion": 1.1, "notes": "This chatTrigger node performs automated tasks as part of the workflow."}, {"id": "e14145d2-0c18-4813-9555-263314cb0376", "name": "OpenAI Chat Model1", "type": "n8n-nodes-base.noOp", "position": [340, 980], "parameters": {"model": {"__rl": true, "mode": "list", "value": "gpt-4o-mini"}, "options": {}}, "credentials": {"openAiApi": {"id": "8gccIjcuf3gvaoEr", "name": "OpenAi account"}}, "typeVersion": 1.2, "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."}, {"id": "e6863abd-d3df-4b45-9083-96b82cd46773", "name": "Set file URL in Google Drive", "type": "n8n-nodes-base.set", "position": [-440, 40], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "dc7a70e3-9b04-404b-8892-ba0fcc4274c2", "name": "file_url", "type": "string", "value": " {{ $env.WEBHOOK_URL }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "80d241f1-7c8a-489e-9255-84bc79ec11c7", "name": "Download file", "type": "n8n-nodes-base.googleDrive", "position": [-220, 40], "parameters": {"fileId": {"__rl": true, "mode": "url", "value": "={{ $json.file_url }}"}, "options": {}, "operation": "download"}, "credentials": {"googleDriveOAuth2Api": {"id": "yOwz41gMQclOadgu", "name": "Google Drive account"}}, "typeVersion": 3, "notes": "This googleDrive node performs automated tasks as part of the workflow."}, {"id": "8483b283-1ff4-4540-891a-09886c146e16", "name": "Default Data Loader", "type": "n8n-nodes-base.noOp", "position": [180, 240], "parameters": {"options": {"metadata": {"metadataValues": [{"name": "file_url", "value": "={{ $('Set file URL in Google Drive').first().json.file_url }}"}, {"name": "file_name", "value": "={{ $('Download file').first().binary.data.fileName }}"}]}}, "dataType": "binary"}, "typeVersion": 1, "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."}, {"id": "c262df34-b2d9-4f48-b975-d694469e6e5a", "name": "Embeddings OpenAI2", "type": "n8n-nodes-base.noOp", "position": [-220, 980], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "8gccIjcuf3gvaoEr", "name": "OpenAi account"}}, "typeVersion": 1.2, "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."}, {"id": "45c8e8cb-a29e-48ad-985f-e0136065840f", "name": "Embeddings OpenAI", "type": "n8n-nodes-base.noOp", "position": [40, 240], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "8gccIjcuf3gvaoEr", "name": "OpenAi account"}}, "typeVersion": 1.2, "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."}, {"id": "8c852568-f100-4849-a06f-86e71733512a", "name": "Recursive Character Text Splitter", "type": "n8n-nodes-base.noOp", "position": [260, 400], "parameters": {"options": {}, "chunkSize": 3000, "chunkOverlap": 200}, "typeVersion": 1, "notes": "This textSplitterRecursiveCharacterTextSplitter node performs automated tasks as part of the workflow."}, {"id": "319e5b2d-c648-4ef5-8238-7732c62d34f5", "name": "Set max chunks to send to model", "type": "n8n-nodes-base.set", "position": [-420, 760], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "33f4addf-72f3-4618-a6ba-5b762257d723", "name": "chunks", "type": "number", "value": 4}]}, "includeOtherFields": true}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "91b9132e-ef51-4044-be1b-f391aeeb467c", "name": "Get top chunks matching query", "type": "n8n-nodes-base.noOp", "position": [-220, 760], "parameters": {"mode": "load", "topK": "={{ $json.chunks }}", "prompt": "={{ $json.chatInput }}", "options": {}, "pineconeIndex": {"__rl": true, "mode": "id", "value": "test-index"}}, "credentials": {"pineconeApi": {"id": "OHDlDbBkaPDgpnOY", "name": "PineconeApi account"}}, "typeVersion": 1, "notes": "This vectorStorePinecone node performs automated tasks as part of the workflow."}, {"id": "5ad6e0fd-c296-4507-8232-164b5be57f4a", "name": "Prepare chunks", "type": "n8n-nodes-base.code", "position": [140, 760], "parameters": {"jsCode": "let out = \"\"\nfor (const i in $input.all()) {\n  let itemText = \"--- CHUNK \" + i + \" ---\\n\"\n  itemText += $input.all()[i].json.document.pageContent + \"\\n\"\n  itemText += \"\\n\"\n  out += itemText\n}\n\nreturn {\n  'context': out\n};"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "770b066a-abb2-443e-bcaa-14632c6696f4", "name": "Answer the query based on chunks", "type": "n8n-nodes-base.noOp", "position": [340, 760], "parameters": {"text": "={{ $json.context }}\n\nQuestion: {{ $('When chat message received').first().json.chatInput }}\nHelpful Answer:", "options": {"systemPromptTemplate": "=Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Important: In your response, also include the the indexes of the chunks you used to generate the answer."}, "schemaType": "manual", "inputSchema": "{\n  \"type\": \"object\",\n  \"required\": [\"answer\", \"citations\"],\n  \"properties\": {\n    \"answer\": {\n      \"type\": \"string\"\n    },\n    \"citations\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"number\"\n      }\n    }\n  }\n}"}, "typeVersion": 1, "notes": "This informationExtractor node performs automated tasks as part of the workflow."}, {"id": "e43abc0c-cedf-4e73-a766-7fad57601cfe", "name": "Compose citations", "type": "n8n-nodes-base.set", "position": [700, 760], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "ace6185e-8b3d-4f89-ae36-dfe0c391a0a9", "name": "citations", "type": "array", "value": "={{ $json.citations.map(i => '[' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata.file_name + ', lines ' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata['loc.lines.from'] + '-' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata['loc.lines.to'] + ']') }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "f82df340-42fc-4e92-9e9d-d808f19e0407", "name": "Generate response", "type": "n8n-nodes-base.set", "position": [900, 760], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "11396286-0378-4c3a-86e1-c9ef51afbfc7", "name": "text", "type": "string", "value": "={{ $json.answer }} {{ $if(!$json.citations.isEmpty(), \"\\n\" + $json.citations.join(\"\"), '') }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "error-05d3d51b", "name": "Error Handler", "type": "n8n-nodes-base.stopAndError", "typeVersion": 1, "position": [1000, 400], "parameters": {"message": "Workflow execution error", "options": {}}}], "pinData": {}, "connections": {"e14145d2-0c18-4813-9555-263314cb0376": {"main": [[{"node": "error-handler-e14145d2-0c18-4813-9555-263314cb0376-692df85e", "type": "main", "index": 0}]]}, "80d241f1-7c8a-489e-9255-84bc79ec11c7": {"main": [[{"node": "error-handler-80d241f1-7c8a-489e-9255-84bc79ec11c7-23758b96", "type": "main", "index": 0}]]}, "c262df34-b2d9-4f48-b975-d694469e6e5a": {"main": [[{"node": "error-handler-c262df34-b2d9-4f48-b975-d694469e6e5a-2fcf58f9", "type": "main", "index": 0}]]}, "45c8e8cb-a29e-48ad-985f-e0136065840f": {"main": [[{"node": "error-handler-45c8e8cb-a29e-48ad-985f-e0136065840f-aac6c642", "type": "main", "index": 0}]]}}, "name": "Manualtrigger Workflow", "settings": {"executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000}, "description": "Automated workflow: Manualtrigger Workflow. This workflow integrates 13 different services: stickyNote, vectorStorePinecone, textSplitterRecursiveCharacterTextSplitter, code, googleDrive. It contains 24 nodes and follows best practices for error handling and security.", "tags": ["automation", "n8n", "production-ready", "excellent", "optimized"], "notes": "Excellent quality workflow: Manualtrigger Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}