Workflow: Manualtrigger Workflow
Integrations: compression, executeWorkflowTrigger, extractFromFile, filter, httpRequest, manualTrigger, noOp, set, splitInBatches, splitOut, stickyNote, switch, wait

{"meta": {"instanceId": "workflow-38d7c8e1", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:58.402715", "updatedAt": "2025-09-29T07:07:58.402745", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "nodes": [{"id": "1bb3c94e-326e-41ca-82e4-102a598dba39", "name": "When clicking \u2018Test workflow\u2019", "type": "n8n-nodes-base.manualTrigger", "position": [-320, 300], "parameters": {}, "typeVersion": 1, "notes": "This manualTrigger node performs automated tasks as part of the workflow."}, {"id": "751b283b-ea88-4fcd-ace3-3c86631f8876", "name": "Embeddings Mistral Cloud", "type": "n8n-nodes-base.noOp", "position": [1760, 560], "parameters": {"options": {}}, "credentials": {"mistralCloudApi": {"id": "EIl2QxhXAS9Hkg37", "name": "Mistral Cloud account"}}, "typeVersion": 1, "notes": "This embeddingsMistralCloud node performs automated tasks as part of the workflow."}, {"id": "f0851949-1036-4040-84df-61295cc5db74", "name": "Default Data Loader", "type": "n8n-nodes-base.noOp", "position": [1900, 560], "parameters": {"options": {"metadata": {"metadataValues": [{"name": "chapter", "value": "={{ $('For Each Section...').item.json.chapter }}"}, {"name": "section", "value": "={{ $('For Each Section...').item.json.label }}"}, {"name": "=title", "value": "={{ $('For Each Section...').item.json.title }}"}, {"name": "content_order", "value": "={{ $itemIndex }}"}]}}, "jsonData": "={{ $json.content }}", "jsonMode": "expressionData"}, "typeVersion": 1, "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."}, {"id": "41d10b61-9fbe-446e-a65a-0db6e0116e5b", "name": "Recursive Character Text Splitter", "type": "n8n-nodes-base.noOp", "position": [1920, 680], "parameters": {"options": {}, "chunkSize": 2000}, "typeVersion": 1, "notes": "This textSplitterRecursiveCharacterTextSplitter node performs automated tasks as part of the workflow."}, {"id": "a1ecb096-4d31-4993-b801-ca3f09a9edc7", "name": "Get Tax Code Zip File", "type": "n8n-nodes-base.httpRequest", "position": [-20, 340], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {"response": {"response": {"responseFormat": "file"}}}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "cf983315-fe2a-43c1-8dc6-b17a217b845e", "name": "Extract Zip Files", "type": "n8n-nodes-base.compression", "position": [140, 340], "parameters": {}, "typeVersion": 1.1, "notes": "This compression node performs automated tasks as part of the workflow."}, {"id": "8d02dd80-d14a-4e56-ab40-f2c4a445c57b", "name": "Files as Items", "type": "n8n-nodes-base.splitOut", "position": [300, 340], "parameters": {"include": "allOtherFields", "options": {}, "fieldToSplitOut": "$binary"}, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow."}, {"id": "038060dc-e01d-40ae-878d-5043bc36ab91", "name": "Extract PDF Contents", "type": "n8n-nodes-base.extractFromFile", "position": [560, 380], "parameters": {"options": {}, "operation": "pdf", "binaryPropertyName": "=file_{{ $itemIndex }}"}, "typeVersion": 1, "notes": "This extractFromFile node performs automated tasks as part of the workflow."}, {"id": "4a85003b-b988-467b-b1cb-29206cbed879", "name": "Extract From Chapter", "type": "n8n-nodes-base.set", "position": [740, 380], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "d791928a-d775-48cc-9004-a92cbe2403d3", "name": "contents", "type": "array", "value": "={{\n  $json.text\n    .substring($json.text.search(/\\nSec\\.\\nA[0-9]{1,4}\\.[0-9]{1,5}\\.AA/), $json.text.length)\n    .split(/\\nSec\\.\\nA[0-9]{1,2}\\.[0-9]{1,2}\\.AA/g)\n    .filter(text => !text.isEmpty())\n    .map(text => {\n      const output = text.replaceAll('AA', ' ').replaceAll('\\nA', ' ');\n      const title = output.substring(0, output.indexOf('.'));\n      const content = output.substring(output.indexOf('.')+1, output.length).replaceAll('\\n', ' ').trim();\n      return { title, content };\n    })\n}}"}, {"id": "bc06641f-0b75-4a35-8752-78803231d5d6", "name": "labels", "type": "array", "value": "={{\n  $json.text\n    .match(/\\nSec\\.\\nA[0-9]{1,4}\\.[0-9]{1,5}\\.AA/g)\n    .map(text => ({\n        label: text.replaceAll('AA', ' ')\n                  .replaceAll('\\nA', ' ')\n                  .replaceAll('\\n', '')\n                  .trim()\n    }))\n}}"}]}}, "typeVersion": 3.3, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "ee338786-91df-4784-bd7e-f86c0e13ca26", "name": "Map To Sections", "type": "n8n-nodes-base.set", "position": [740, 520], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "60109e60-d760-45bb-be09-7cb2b5eb85bc", "name": "section", "type": "array", "value": "={{\n  $json.labels.map((label, idx) => ({\n    label: label.label.match(/\\d.+/)[0].replace(/\\.$/, ''),\n    title: $json.contents[idx].title,\n    content: $json.contents[idx].content,\n    chapter: $('Extract PDF Contents').first().json.info.Title,\n  }))\n}}"}]}}, "typeVersion": 3.3, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "41c9899d-26d7-48af-9af2-8563ab0fb7e4", "name": "Execute Workflow Trigger", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [1313, 1200], "parameters": {}, "typeVersion": 1, "notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."}, {"id": "3a93c19b-09d9-4e38-8b0c-2008fc03f7fc", "name": "Get Mistral Embeddings", "type": "n8n-nodes-base.httpRequest", "position": [1660, 1060], "parameters": {"url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {}, "sendBody": true, "authentication": "{{ $credentials.predefinedCredentialType }}", "bodyParameters": {"parameters": [{"name": "model", "value": "mistral-embed"}, {"name": "encoding_format", "value": "float"}, {"name": "input", "value": "={{ $json.query }}"}]}, "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"mistralCloudApi": {"id": "EIl2QxhXAS9Hkg37", "name": "Mistral Cloud account"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "1adc12bd-ba61-4f1a-b1f9-3f19a542e294", "name": "Content Chunking @ 50k Chars", "type": "n8n-nodes-base.set", "position": [1580, 400], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "7753a4f4-3ec2-4c05-81df-3d5e8979a478", "name": "=content", "type": "array", "value": "={{ new Array(Math.round($json.content.length / Math.min($json.content.length, 30000))).fill('').map((_,idx) => $json.content.substring(idx * 30000, idx * 50000 + 30000)) }}"}]}}, "typeVersion": 3.3, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "ff8adce2-8f73-4a8f-b512-5aa560ca0954", "name": "Split Out Chunks", "type": "n8n-nodes-base.splitOut", "position": [1580, 580], "parameters": {"options": {}, "fieldToSplitOut": "content"}, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow."}, {"id": "5f08ce3c-240d-4c91-bb23-953866fd0361", "name": "For Each Section...", "type": "n8n-nodes-base.splitInBatches", "position": [1400, 280], "parameters": {"options": {}, "batchSize": 5}, "typeVersion": 3, "notes": "This splitInBatches node performs automated tasks as part of the workflow."}, {"id": "6346cf67-7d93-4315-bb0d-2e016c9853b9", "name": "Sections To List", "type": "n8n-nodes-base.splitOut", "position": [940, 380], "parameters": {"options": {}, "fieldToSplitOut": "section"}, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow."}, {"id": "95e34952-03e2-40e3-a245-9da8c9e1f249", "name": "Only Valid Sections", "type": "n8n-nodes-base.filter", "position": [1100, 380], "parameters": {"options": {}, "conditions": {"options": {"leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "or", "conditions": [{"id": "121e8f86-2ead-47e0-8e17-52d7c6ba8265", "operator": {"type": "string", "operation": "notEmpty", "singleValue": true}, "leftValue": "={{ $json.content }}", "rightValue": ""}]}}, "typeVersion": 2, "notes": "This filter node performs automated tasks as part of the workflow."}, {"id": "dfe1818f-93b7-4116-8a6e-dcb2e6c23fcf", "name": "Use Qdrant Search API1", "type": "n8n-nodes-base.httpRequest", "position": [1860, 1060], "parameters": {"url": "{{ $env.BASE_URL }}", "method": "POST", "options": {}, "sendBody": true, "authentication": "{{ $credentials.predefinedCredentialType }}", "bodyParameters": {"parameters": [{"name": "limit", "value": "={{ 4 }}"}, {"name": "vector", "value": "={{ $json.data[0].embedding }}"}, {"name": "with_payload", "value": "={{ true }}"}]}, "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"qdrantApi": {"id": "NyinAS3Pgfik66w5", "name": "QdrantApi account"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "588318e6-e188-4d99-9c11-39b2f3fb1c18", "name": "Use Qdrant Scroll API", "type": "n8n-nodes-base.httpRequest", "position": [1660, 1320], "parameters": {"url": "{{ $env.BASE_URL }}", "method": "POST", "options": {"pagination": {"pagination": {"parameters": {"parameters": [{"name": "next_page_offset", "type": "body", "value": "={{ $response.body.result.next_page_offset }}"}]}, "completeExpression": "={{ $response.body.result.next_page_offset === null }}", "paginationCompleteWhen": "other"}}}, "sendBody": true, "authentication": "{{ $credentials.predefinedCredentialType }}", "bodyParameters": {"parameters": [{"name": "limit", "value": "={{ 100 }}"}, {"name": "with_payload", "value": "={{ true }}"}, {"name": "filter", "value": "={{\n{\n  \"must\": [\n    ($json.query.section\n      ? { \"key\": \"metadata.section\", \"match\": { \"value\": $json.query.section } }\n      : { \"key\": \"metadata.chapter\", \"match\": { \"value\": $json.query.chapter } }\n    )\n  ]\n}\n}}"}]}, "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"qdrantApi": {"id": "NyinAS3Pgfik66w5", "name": "QdrantApi account"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "bbf01344-c60e-42b3-8d7d-2bb360876d79", "name": "Get Search Response", "type": "n8n-nodes-base.set", "position": [1860, 1320], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "08ad2d6e-4ed1-409e-b89c-1f0c7fdf1b64", "name": "response", "type": "string", "value": "=---\nchapter: {{ $json.result.points.first().payload.metadata.chapter }}\nsection: {{ $json.result.points.first().payload.metadata.section }}\ntitle: {{ $json.result.points.first().payload.metadata.title }}\n---\n{{ $json.result.points\n      .toSorted((a,b) => (a.payload.metadata.content_order || 0) - (b.payload.metadata.content_order || 0))\n      .map(point => point.payload.content).join('\\n') }}"}]}}, "typeVersion": 3.3, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "3b23ff5e-158a-470f-a262-d001d52feeba", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-100, 183.38345554113084], "parameters": {"color": 7, "width": 571.4359274276384, "height": 352.65642339230595, "content": "## Step 1. Download the Tax Code PDF\n[Read more about handling Zip Files]({{ $env.WEBHOOK_URL }}\n\nLet's begin by pulling a zip file containing all the tax codes as separate PDF files. We can unzip on the fly with n8n's compression node."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "02826887-eb26-48a0-928e-fe56ee008425", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [500, 199.87747230655896], "parameters": {"color": 7, "width": 777.897719182587, "height": 503.3459981018574, "content": "## Step 2. Extract and Partition Into Chapters & Sections\n[Learn more about reading PDF Files]({{ $env.WEBHOOK_URL }}\n\nRather than ingest the raw text of the PDF, we'll be a little more strategic and extract the tax code sections separately instead. Not only will this provide cleaner results, we'll also be able to fetch sections in isolation if required."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "31a34972-31ab-4b96-9d09-cd30a3b184cf", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [1300, 108.82958126396], "parameters": {"color": 7, "width": 1045.1698686248747, "height": 771.1260499456115, "content": "## Step 3. Save into Qdrant VectorStore\n[Read more about using the Qdrant Vectorstore]({{ $env.WEBHOOK_URL }}\n\nWe'll save our data into a Qdrant collection being mindful to use metadata to take full advantage of Qdrant's filtering capabilities later.\nThough not always required, since the tax code documents can be quite large we'll implement a loop here to throttle the number of tokens being processed as to not trip the Mistral.ai rate limits for embeddings."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "27039fa6-6388-45ee-a2d5-6bb68554944b", "name": "Qdrant Vector Store", "type": "n8n-nodes-base.noOp", "position": [1760, 400], "parameters": {"mode": "insert", "options": {}, "qdrantCollection": {"__rl": true, "mode": "list", "value": "texas_tax_codes", "cachedResultName": "texas_tax_codes"}}, "credentials": {"qdrantApi": {"id": "NyinAS3Pgfik66w5", "name": "QdrantApi account"}}, "typeVersion": 1, "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."}, {"id": "5ec16c20-eb1e-454a-8165-594d83dd8711", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [360, 900], "parameters": {"color": 7, "width": 858.1415560000298, "height": 513.2269439624808, "content": "## Step 4. Build a Tax Code Assistant ChatBot\n[Learn more about using AI Agents in n8n]({{ $env.WEBHOOK_URL }}\n\nFor our chatbot, we'll use an AI agent node because we want to achieve more than one functionality. The first will be querying to relevant texts to answer a user's question and secondly, a direct search feature to pull full section text when requested."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "d5145c6f-768b-42d8-a045-20e045f52b0b", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [1240, 904.6076722083936], "parameters": {"color": 7, "width": 1030.0926850706744, "height": 577.7854680142904, "content": "## Step 5. Use Qdrant API as Tools\n[Learn more about using AI Agents in n8n]({{ $env.WEBHOOK_URL }}\n\nOur Ask Tool will generate embeddings using Mistral.ai and query our Qdrant collection using the Qdrant Search API.\nOur Search Tool will use filter our Qdrant collection using the Qdrant Scroll API, matching on each doc's section metadata key."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "ccf50479-53d8-4edf-8f2b-73060a6a6e0f", "name": "AI Agent", "type": "n8n-nodes-base.noOp", "position": [700, 1063], "parameters": {"options": {"systemMessage": "You are a helpful assistant answering user questions on the tax code legistration for the state of Texas, united states of america.\n\nAlong with your response also note in which chapter and section number the information was found. "}}, "typeVersion": 1.6, "notes": "This agent node performs automated tasks as part of the workflow."}, {"id": "d7e7fa9e-73ba-4df3-862e-25af63d9d9b4", "name": "Window Buffer Memory", "type": "n8n-nodes-base.noOp", "position": [820, 1223], "parameters": {}, "typeVersion": 1.2, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."}, {"id": "a79bdbcd-7157-470a-aadc-bd3f8a4c40d2", "name": "When chat message received", "type": "n8n-nodes-base.noOp", "position": [420, 1063], "webhookId": "db2b118d-942e-4be9-b154-7df887232f97", "parameters": {"public": true, "options": {"loadPreviousSession": "memory"}, "initialMessages": ""}, "typeVersion": 1, "notes": "This chatTrigger node performs automated tasks as part of the workflow."}, {"id": "6046f137-b508-484f-8577-ac51a35eee09", "name": "Window Buffer Memory1", "type": "n8n-nodes-base.noOp", "position": [420, 1223], "parameters": {}, "typeVersion": 1.2, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."}, {"id": "30f238f8-1987-4d6d-b06d-ac2106ea3734", "name": "OpenAI Chat Model", "type": "n8n-nodes-base.noOp", "position": [700, 1223], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "8gccIjcuf3gvaoEr", "name": "OpenAi account"}}, "typeVersion": 1, "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."}, {"id": "8a8490f6-5957-495c-a7af-15cec669f39c", "name": "1sec", "type": "n8n-nodes-base.wait", "position": [2160, 660], "webhookId": "852317f0-aadf-4658-ae44-d05e5de29302", "parameters": {"amount": 1}, "executeOnce": false, "typeVersion": 1.1, "notes": "This wait node performs automated tasks as part of the workflow."}, {"id": "142450f5-8ec1-4ae6-b25c-df3233394d4e", "name": "Ask Tool", "type": "n8n-nodes-base.noOp", "position": [960, 1223], "parameters": {"name": "query_tax_code_knowledgebase", "fields": {"values": [{"name": "route", "stringValue": "ask_tool"}]}, "workflowId": "={{ $workflow.id }}", "description": "Call this tool to query the tax code database for information. Structure your query in the form of a question for best results."}, "typeVersion": 1.1, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "ee455a4e-c9a1-49b2-a036-d3f3d34099c6", "name": "Search Tool", "type": "n8n-nodes-base.noOp", "position": [1060, 1223], "parameters": {"name": "get_tax_code_section", "fields": {"values": [{"name": "route", "stringValue": "search_tool"}]}, "workflowId": "={{ $workflow.id }}", "description": "Call this tool to search for specific sections of the tax code document. Pass in either a known section number/id to get the section's text or a known chapter name to return all sections for the chapter.", "jsonSchemaExample": "{\n\t\"chapter\": \"some_value\",\n    \"section\": \"Sec 1.01\"\n}", "specifyInputSchema": true}, "typeVersion": 1.1, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "f3240f8d-8869-4088-8e4f-d4e23a3c12a8", "name": "Switch", "type": "n8n-nodes-base.switch", "position": [1473, 1200], "parameters": {"rules": {"values": [{"outputKey": "YOUR_CREDENTIAL_HERE", "conditions": {"options": {"leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"operator": {"type": "string", "operation": "equals"}, "leftValue": "={{ $json.route }}", "rightValue": "ask_tool"}]}, "renameOutput": true}, {"outputKey": "YOUR_CREDENTIAL_HERE", "conditions": {"options": {"leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "909362ed-eb97-405c-9f2f-f404a3bfeaf3", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.route }}", "rightValue": "search_tool"}]}, "renameOutput": true}]}, "options": {}}, "typeVersion": 3, "notes": "This switch node performs automated tasks as part of the workflow."}, {"id": "71441b5a-099b-49e0-a212-3087d958b38b", "name": "Get Ask Response", "type": "n8n-nodes-base.set", "position": [2060, 1060], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "eb5f2b3c-bb88-4cae-a960-164016c9a9e4", "name": "response", "type": "string", "value": "=|chapter|section|title|content|\n|-|-|-|-|\n{{\n  $json.result.map(row => [\n    '',\n    row.payload.metadata.chapter,\n    row.payload.metadata.section,\n    row.payload.metadata.title,\n    row.payload.content,\n    ''\n  ].join('|')).join('\\n')\n}}"}]}}, "typeVersion": 3.3, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "54a744a3-95c9-4d9a-b1e7-e266a51f77ca", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [-520, -79.56762868134751], "parameters": {"width": 383.14868794462586, "height": 563.604204119637, "content": "## Try Me Out!\n### This workflow builds an AI powered Legal assistant who answers questions about tax codes.\n* Download publically available tax code PDFs from the relevant government website.\n* Strategically exact tax code sections and store these in our Qdrant Vectorstore using Mistral.ai embeddings.\n* Use an AI Agent to answer user's tax questions by attaching tools which query our Qdrant vectorstore.\n\n### Need Help?\nJoin the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}\n\nHappy Hacking!"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "7f802f12-03e0-4b8e-a880-8c26242c1152", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [790.1971986436472, 720], "parameters": {"color": 5, "width": 489.3944544742706, "height": 131.61363932813174, "content": "### \ud83d\ude4b\u200d\u2640\ufe0fWhat's the difference?\nWith raw PDF data, we may blur the boundaries between chapters and sections making later results hard to find, incoherent or misleading.\nDepending on your use-case, store your data in a way you intend to retrieve it!"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}], "pinData": {}, "connections": {"a1ecb096-4d31-4993-b801-ca3f09a9edc7": {"main": [[{"node": "error-handler-a1ecb096-4d31-4993-b801-ca3f09a9edc7", "type": "main", "index": 0}], [{"node": "error-handler-a1ecb096-4d31-4993-b801-ca3f09a9edc7-f9dbfa50", "type": "main", "index": 0}], [{"node": "error-handler-a1ecb096-4d31-4993-b801-ca3f09a9edc7-6465e4ed", "type": "main", "index": 0}], [{"node": "error-handler-a1ecb096-4d31-4993-b801-ca3f09a9edc7-e28358f5", "type": "main", "index": 0}], 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"UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000}, "description": "Automated workflow: Manualtrigger Workflow. This workflow integrates 22 different services: stickyNote, embeddingsMistralCloud, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant, switch. It contains 48 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."}