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n8n-install/n8n/backup/workflows/n8n_3_4__Redis.json

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{
"name": "n8n-3-4: Redis",
"nodes": [
{
"parameters": {
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3cf788a6-94d0-4223-9caa-30b8e4df8e01",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.output.stop_interview }}",
"rightValue": ""
}
]
},
"options": {}
},
"id": "59e64460-5c30-4412-b2b7-9794c68dc8da",
"name": "Stop Interview?",
"type": "n8n-nodes-base.if",
"position": [
-1540,
600
],
"typeVersion": 2.2
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "06146a75-b67a-42cf-aa6f-241f23c47b9a",
"name": "timestamp",
"type": "string",
"value": "={{ $now.toISO() }}"
},
{
"id": "b0278c64-58a7-487d-b7ba-d102fb5d4a0c",
"name": "type",
"type": "string",
"value": "next_question"
},
{
"id": "ba034ca1-408e-422f-b071-dab0ef12fb48",
"name": "question",
"type": "string",
"value": "={{ $('Parse Response').item.json.output.question }}"
},
{
"id": "a2231f6e-f507-408e-b598-53888cf8d4b5",
"name": "answer",
"type": "string",
"value": "={{ $('Get Answer').item.json.answer }}"
}
]
},
"options": {}
},
"id": "33e85df7-f1f5-4887-a97c-ca186121357e",
"name": "Generate Row",
"type": "n8n-nodes-base.set",
"position": [
-1180,
880
],
"typeVersion": 3.4
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "06146a75-b67a-42cf-aa6f-241f23c47b9a",
"name": "timestamp",
"type": "string",
"value": "={{ $now.toISO() }}"
},
{
"id": "b0278c64-58a7-487d-b7ba-d102fb5d4a0c",
"name": "type",
"type": "string",
"value": "stop_interview"
},
{
"id": "ba034ca1-408e-422f-b071-dab0ef12fb48",
"name": "question",
"type": "string",
"value": "=None"
},
{
"id": "a2231f6e-f507-408e-b598-53888cf8d4b5",
"name": "answer",
"type": "string",
"value": "=None"
}
]
},
"options": {}
},
"id": "eba6151b-444b-42c0-9003-df8f6f217ff7",
"name": "Generate Row1",
"type": "n8n-nodes-base.set",
"position": [
-1340,
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],
"typeVersion": 3.4
},
{
"parameters": {
"mode": "delete",
"deleteMode": "all"
},
"id": "8eb05690-5f18-4901-ac1c-e6f316537b02",
"name": "Clear For Next Interview",
"type": "@n8n/n8n-nodes-langchain.memoryManager",
"position": [
-1020,
440
],
"typeVersion": 1.1
},
{
"parameters": {
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 Set Interview Topic Here!",
"height": 260,
"width": 180
},
"id": "67833851-3337-4467-a18b-550bd4b88ebe",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2340,
540
],
"typeVersion": 1
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "06a9c730-4756-4bc8-a394-6ff249cf7117",
"name": "answer",
"type": "string",
"value": "={{ $('Get Answer').item.json.answer }}"
}
]
},
"options": {}
},
"id": "209b0d73-2423-4d5a-9144-899b267d167b",
"name": "Send Reply To Agent",
"type": "n8n-nodes-base.set",
"position": [
-860,
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],
"typeVersion": 3.4
},
{
"parameters": {
"content": "## 1. Setup Interview\n[Learn more about the form trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger)\n\nThe form trigger node will be our entry point into this workflow and to start, we'll just ask for the user's name to start the interview.\nOur session storage will be using Redis via Upstash.com (you can use regular redis btw!) - whichever way, this ensures a highly scalable system able to handle many users.",
"height": 220,
"width": 490,
"color": 7
},
"id": "b2891a16-52e4-4d78-92f5-fe1de1d5f775",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3040,
740
],
"typeVersion": 1
},
{
"parameters": {
"formTitle": "=UK Practical Driving Test Satisfaction Interview",
"formDescription": "=Thanks for taking part in our Interview. You will be presented with an unending series of questions to help us with your experiences in preparing for and taking the UK Practical Driving Test.\n\nThe interviewer is an AI agent and the questions are dynamically generated. When you're done with answer, simple say STOP to exit the interview. Sessions are deleted after 24 hours.",
"formFields": {
"values": [
{
"fieldLabel": "What is your name?",
"placeholder": "ie. Sam Smith",
"requiredField": true
}
]
},
"responseMode": "lastNode",
"options": {
"appendAttribution": true,
"buttonLabel": "Begin Interview!",
"path": "driving-lessons-survey",
"ignoreBots": true,
"useWorkflowTimezone": true
}
},
"id": "12c2576a-d3a9-4061-98ec-7e1236378633",
"name": "Start Interview",
"type": "n8n-nodes-base.formTrigger",
"position": [
-3040,
560
],
"webhookId": "8d849295-ed30-41ab-a17c-464227cec8fb",
"typeVersion": 2.2
},
{
"parameters": {
"content": "## 2. AI Researcher for Endless Interview Questions\n[Learn more about the AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\n\nAn AI interviewer is an interesting take on a role traditionally understood as expensive and time-consuming - both in preparation and execution. What if this could be handed off to an AI/LLM, which could perform when it suits the interviewee and ask a never-ending list of open and follow-on questions for deeper insights?\n\nThis is what this AI researcher agent is designed to do! Upon activation, a loop is created where the agent generates the question and the user answers via the form node. This continues until the user asks to stop the interview.",
"height": 280,
"width": 614,
"color": 7
},
"id": "dc743128-6ebf-4e50-954e-0aa4a48ab128",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2080,
280
],
"typeVersion": 1
},
{
"parameters": {
"content": "## 3. Record Answers and Prep for Next Question\n[Learn more about the n8n Form node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\n\nThe interview is no good if we can't record the answers somewhere for later analysis! Using n8n form node to capture the answer, we can simple push our new question and answer pair to our Redis session to build our transcript before continuing the loop with the agent.",
"height": 202,
"width": 580,
"color": 7
},
"id": "ffc43fb1-fa23-459c-8286-44ede438ee76",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1340,
1060
],
"typeVersion": 1
},
{
"parameters": {
"content": "## 4. Graciously End the Interview\n[Read more about the Chat Manager node](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorymanager/)\n\nOnce the AI/LLM detects the user wishes to end the interview (which is done by the user explicitly saying in the form), then the loop breaks and we conclude the interview session and displaying the confirmation screen.\n\nFor this demo, I've created a special confirmation screen which also displays the transcript. This is done by redirecting to a webhook URL. If you don't need this, feel free to change this to \"show completion screen\" instead.\n",
"height": 253,
"width": 528,
"color": 7
},
"id": "9aa58828-23e5-42bd-be8f-eef5bf7e8a43",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1100,
140
],
"typeVersion": 1
},
{
"parameters": {
"formFields": {
"values": [
{
"fieldLabel": "answer",
"fieldType": "textarea",
"requiredField": true
}
]
},
"options": {
"formTitle": "={{ $json.output.question }}",
"formDescription": "Please answer the question or type \"stop interview\" to end the interview.",
"buttonLabel": "Next Question"
}
},
"id": "a714019c-7d75-4f2b-b690-861ecba9fa78",
"name": "Get Answer",
"type": "n8n-nodes-base.form",
"position": [
-1340,
880
],
"webhookId": "d96bb88d-db84-4a68-8f02-bcff9cb8429e",
"typeVersion": 1
},
{
"parameters": {
"content": "## Try it out! \n\n### Conducting user interviews have been traditionally difficult due to preparation, timing and execution costs. What if we let an AI/LLM do it instead?\n\nThis template enables automated AI/LLM powered user interviews using n8n forms and an AI agent where the question and answers are recorded in a google sheet for later analysis. A powerful tool for any researcher.\n\n### Check out the full showcase post here: https://community.n8n.io/t/build-your-own-ai-interview-agents-with-n8n-forms/62312\n\n### How it works\n* A form trigger is used to start the interview and a new session is created in redis to capture the transcript.\n* An AI agent is then tasked to ask questions to the user regarding the topic of the interview. This is setup as a loop so the questions never stop unless the user wishes to end the interview.\n* Each answer is recorded in our session set up earlier between questions.\n* Finally, when the user requests to end the interview we break the loop and show the interview completion screen.\n\n### Why Redis?\nRedis is a fast key-value datastore which makes it ideal for sessions. This ensures the interview flow stays snappy between questions. For my live demo, I used Upstash.com which has a generous free tier.\n\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!\n",
"height": 787.6241860465118,
"width": 522.6976744186048
},
"id": "9dba27b1-0f90-430c-9121-210c23a0b44e",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3640,
180
],
"typeVersion": 1
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "386f91e1-cc3e-4912-84e3-5ecdbf5412c8",
"name": "answer",
"type": "string",
"value": "=Hello, my name is {{ $('Start Interview').first().json['What is your name?'] }}"
},
{
"id": "492d5ecc-4e76-4297-b8a7-9ca4f801c855",
"name": "interview_topic",
"type": "string",
"value": "Your experience preparing for and taking the UK practical driving test"
}
]
},
"options": {}
},
"id": "7cb5b986-0be8-4875-a73c-e2003d1d9e3b",
"name": "Set Interview Topic",
"type": "n8n-nodes-base.set",
"position": [
-2300,
560
],
"typeVersion": 3.4
},
{
"parameters": {
"action": "generate"
},
"id": "40ff7a11-ee75-422e-bf8d-8dd167590898",
"name": "UUID",
"type": "n8n-nodes-base.crypto",
"position": [
-2900,
560
],
"typeVersion": 1
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "06146a75-b67a-42cf-aa6f-241f23c47b9a",
"name": "timestamp",
"type": "string",
"value": "={{ $now.toISO() }}"
},
{
"id": "b0278c64-58a7-487d-b7ba-d102fb5d4a0c",
"name": "type",
"type": "string",
"value": "start_interview"
},
{
"id": "ba034ca1-408e-422f-b071-dab0ef12fb48",
"name": "question",
"type": "string",
"value": "=What is your name?"
},
{
"id": "a2231f6e-f507-408e-b598-53888cf8d4b5",
"name": "answer",
"type": "string",
"value": "={{ $('Start Interview').first().json['What is your name?'] }}"
}
]
},
"options": {}
},
"id": "df1f5f65-cd96-4892-9f36-2cbc46e93546",
"name": "Generate Row2",
"type": "n8n-nodes-base.set",
"position": [
-2620,
560
],
"typeVersion": 3.4
},
{
"parameters": {
"operation": "set",
"key": "=session_{{ $('UUID').item.json.data }}",
"value": "={{ [] }}",
"keyType": "list",
"expire": true,
"ttl": "={{ 60 * 60 * 24 }}"
},
"id": "01cea76b-ccc7-415d-a796-c6a53b5259bc",
"name": "Create Session",
"type": "n8n-nodes-base.redis",
"position": [
-2760,
560
],
"typeVersion": 1,
"credentials": {
"redis": {
"id": "knNOyGVUpH9IKLNz",
"name": "Redis account"
}
}
},
{
"parameters": {
"operation": "push",
"list": "=session_{{ $('UUID').first().json.data }}",
"messageData": "={{ $json.toJsonString() }}",
"tail": true
},
"id": "f6ba6fe2-5563-4288-93e1-2a2194f8c766",
"name": "Update Session",
"type": "n8n-nodes-base.redis",
"position": [
-2480,
560
],
"typeVersion": 1,
"credentials": {
"redis": {
"id": "knNOyGVUpH9IKLNz",
"name": "Redis account"
}
}
},
{
"parameters": {
"operation": "push",
"list": "=session_{{ $('UUID').first().json.data }}",
"messageData": "={{ $json.toJsonString() }}",
"tail": true
},
"id": "3cf410b8-2bf5-45b4-bd4b-06588e7b6b81",
"name": "Update Session1",
"type": "n8n-nodes-base.redis",
"position": [
-1020,
880
],
"typeVersion": 1,
"credentials": {
"redis": {
"id": "knNOyGVUpH9IKLNz",
"name": "Redis account"
}
}
},
{
"parameters": {
"operation": "push",
"list": "=session_{{ $('UUID').first().json.data }}",
"messageData": "={{ $json.toJsonString() }}",
"tail": true
},
"id": "04abd49e-053e-4259-adc9-2c686742c12c",
"name": "Update Session2",
"type": "n8n-nodes-base.redis",
"position": [
-1180,
440
],
"typeVersion": 1,
"credentials": {
"redis": {
"id": "knNOyGVUpH9IKLNz",
"name": "Redis account"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "500d6ca9-2a04-40f0-98e8-aa4290e6a30d",
"operator": {
"type": "array",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.data }}",
"rightValue": ""
}
]
},
"options": {}
},
"id": "a889885c-893f-49c5-abd3-f9e78a284f42",
"name": "Valid Session?",
"type": "n8n-nodes-base.if",
"position": [
160,
920
],
"typeVersion": 2.2
},
{
"parameters": {
"respondWith": "text",
"responseBody": "={{ $json.html }}",
"options": {
"responseCode": 200,
"responseHeaders": {
"entries": [
{
"name": "Content-Type",
"value": "text/html"
}
]
}
}
},
"id": "1b6b0a63-ce6f-4f19-a05d-a874b895695a",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
540,
920
],
"typeVersion": 1.1
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('UUID').first().json.data }}"
},
"id": "3248ddaa-9413-4d29-b533-530bc68431b8",
"name": "Window Buffer Memory2",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-1920,
800
],
"typeVersion": 1.2
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('UUID').first().json.data }}"
},
"id": "a2df835c-46f6-4b3c-9cb2-dac126bb0978",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-1020,
600
],
"typeVersion": 1.2
},
{
"parameters": {
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 Set Your Webhook URL here!\nFor this demo, we want to show a customised completion screen with transcript so it's necessary to redirect to a webhook (see step 6).",
"height": 320.31553488372094,
"width": 276.4353488372094
},
"id": "415334c4-d359-4668-acf3-49a939703970",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-740,
420
],
"typeVersion": 1
},
{
"parameters": {
"operation": "completion",
"respondWith": "redirect",
"redirectUrl": "=https://n8n.yyy.io/webhook/78df12c4-ccd0-46dd-be0d-4445c2bd04f2/ai-interview-transcripts/{{ $('UUID').first().json.data }}"
},
"id": "38afc1e9-3800-4c17-8e81-81d2de0ea077",
"name": "Redirect to Completion Screen",
"type": "n8n-nodes-base.form",
"position": [
-660,
440
],
"webhookId": "9fdedf1b-e413-4fc3-94a4-9cc24bffff8a",
"typeVersion": 1
},
{
"parameters": {
"content": "## 6. Display the Transcript\n[Read more about the Webhook Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook)\n\nThis step is totally optional. For a nicer user experience, I use this webhook mini-flow to display the user's transcript for the completion screen. It works by capturing the session_id in the webhook's url and searching for it in our redis database. If a match is found the transcript is fetched and rendered into a webpage using the HTML node and returned to the user. If no match is found, a 404 message is displayed instead.",
"height": 207,
"width": 588,
"color": 7
},
"id": "47bf78fe-728d-4d72-a8d1-f8f054485891",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
660
],
"typeVersion": 1
},
{
"parameters": {
"path": "ai-interview-transcripts/:session_id",
"responseMode": "responseNode",
"options": {
"ignoreBots": true
}
},
"id": "eb73b617-152b-4dac-80ef-27ddea4ccf37",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-220,
920
],
"webhookId": "78df12c4-ccd0-46dd-be0d-4445c2bd04f2",
"typeVersion": 2
},
{
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"html": "\n<html lang='en'>\n\n\t<head>\n\t\t<meta charset='UTF-8' />\n\t\t<meta name='viewport' content='width=device-width, initial-scale=1.0' />\n\t\t<link rel='icon' type='image/png' href='https://n8n.io/favicon.ico' />\n\t\t<link\n\t\t\thref='https://fonts.googleapis.com/css?family=Open+Sans'\n\t\t\trel='stylesheet'\n\t\t\ttype='text/css'\n\t\t/>\n\n\t\t<title>Driving Practice Test 2024 Survey</title>\n\n\t\t<style>\n\t\t\t*, ::after, ::before { box-sizing: border-box; margin: 0; padding: 0; } body { font-family:\n\t\t\tOpen Sans, sans-serif; font-weight: 400; font-size: 12px; display: flex; flex-direction:\n\t\t\tcolumn; justify-content: start; background-color: #FBFCFE; } .container { margin: auto;\n\t\t\ttext-align: center; padding-top: 24px; width: 448px; } .card { padding: 24px;\n\t\t\tbackground-color: white; border: 1px solid #DBDFE7; border-radius: 8px; box-shadow: 0px 4px\n\t\t\t16px 0px #634DFF0F; margin-bottom: 16px; } .n8n-link a { color: #7E8186; font-weight: 600;\n\t\t\tfont-size: 12px; 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"systemMessage": "=You are a user research expert interviewing a user on the topic of \"{{ $('Set Interview Topic').first().json.interview_topic }}\".\n\n* Your task is to ask open-ended questions relevant to the interview topic.\n* Ask only one question at a time. Analyse the previous question and ask new question each time. If there is an opportunity to dig deeper into a previous answer, do so but limit to 1 follow-on question.\n* Keep asking questions until the user requests to stop the interview. When the user requests to stop the interview and no question is required, \"question\" is an empty string.\n* Use a friendly and polite tone when asking questions.\n* If the user answers are inrelevant to the question, ask the question again or move on to another question.\n* If the user's answer is beyond the scope of the interview, ignore the answer and ask if the user would like to stop the interview.\n*You must format your response using the following json schema as we require pre processing before responding to the user.\n```\n{\n \"type\":\"object\",\n \"properties\": {\n \"stop_interview\": { \"type\": \"boolean\" },\n \"question\": { \"type\": [\"string\", \"null\"] }\n }\n}\n```\n* Output only the json object and do not prefix or suffix the message with extraneous text.\n\n\n<AgentInstructions>\n<Role>\n<Name>User Research Expert</Name>\n<Description>A professional interviewer specializing in gathering user experiences about the UK practical driving test</Description>\n<currentDate>{{$now}}</currentDate>\n</Role>\n\n<Goal>\nConduct an in-depth, conversational interview with the user to gather meaningful insights about their experience preparing for and taking the UK practical driving test.\n</Goal>\n\n<Primary>Collect detailed, honest feedback through a natural, flowing conversation using open-ended questions</Primary>\n\n<Instructions>\n<!-- 1. Question Strategy -->\n<Instruction>\nAsk only one question at a time. Analyze previous answers before formulating the next question. If there's an opportunity to dig deeper into a previous answer, do so but limit to one follow-up question before moving to a new topic.\n</Instruction>\n\n<!-- 2. Conversation Flow -->\n<Instruction>\nMaintain the interview until the user explicitly requests to stop. When the user indicates they want to end the interview, set \"question\" to an empty string and \"stop_interview\" to true.\n</Instruction>\n\n<!-- 3. Response Handling -->\n<Instruction>\nIf user answers are irrelevant to the question, either ask the question again or move to a different question. If the user's answer is beyond the scope of the interview, ignore that answer and ask if they would like to stop the interview.\n</Instruction>\n\n<!-- 4. Output Format -->\n<Instruction>\nFormat your response using the following JSON schema:\n{\n \"type\": \"object\",\n \"properties\": {\n \"stop_interview\": { \"type\": \"boolean\" },\n \"question\": { \"type\": [\"string\", \"null\"] }\n }\n}\n\nOutput only the JSON object without any additional text before or after.\n</Instruction>\n\n<!-- 5. Tools Available -->\n<Instruction>\nTools accessible to this Agent:\n1) Memory buffer to maintain context of previous answers\n2) JSON parser to format responses correctly\n3) Natural language processing to analyze user sentiment and responses\n</Instruction>\n\n<!-- 6. Communication Style -->\n<Instruction>\nUse a friendly, polite, and professional tone throughout the interview. Ask open-ended questions that encourage detailed responses rather than yes/no answers. Show interest in the user's experiences without being judgmental or leading. Adapt your questioning approach based on how detailed or brief the user's previous responses have been.\n</Instruction>\n</Instructions>\n</AgentInstructions>"
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Sign up to n8n using this link 🙏\n </a>\n </p>\n </div>\n\t\t\t\t</div>\n <div class='card' >\n\t\t\t\t\t<div class='header'>\n\t\t\t\t\t\t<h1>Transcript</h1>\n <p style=\"color:#ccc;margin-bottom:24px;font-size:0.8rem\">This session is deleted within 24 hours.</p>\n {{\n $json.data\n .map(item => JSON.parse(item))\n .filter(item => item.type === 'next_question')\n .map(item => `\n <div style=\"display:flex;flex-direction:row;margin-bottom: 16px;\">\n <div style=\"width: 60px;padding-right: 5px;text-align: left;color: #ccc;\">\n ${DateTime.fromISO(item.timestamp).format('dd MMM, hh:mm')}\n </div>\n <div style=\"width:100%\">\n <div style=\"\n border: 1px solid #ccc;\n padding: 10px;\n border-radius: 5px;\n background-color: #f8f7f7;\n text-align: right;\n margin-bottom: 5px;\n\">${item.question}</div>\n <div style=\"\n border: 1px solid #c7ccec;\n padding: 10px;\n border-radius: 5px;\n background-color: #f5f5fc;\n text-align: left;\n color: #2e2e84;\n\">${item.answer}</div>\n </div>\n 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},
"id": "3924a9bf-399c-4c8d-86e7-d9356caeed55",
"name": "Show Transcript",
"type": "n8n-nodes-base.html",
"position": [
340,
820
],
"typeVersion": 1.2
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "1BkFSWKq7T1R2LAEDnlvAZug4PbzVqGw7osWaRP6eSZ8",
"mode": "list",
"cachedResultName": "n8n-3-AI Researcher with n8n Forms",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1BkFSWKq7T1R2LAEDnlvAZug4PbzVqGw7osWaRP6eSZ8/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1695693704,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1wKjVdm7HeufJkHrUJn_bW9bFI_blm0laoI_jgXKDe0Q/edit#gid=1695693704",
"cachedResultName": "transcripts"
},
"columns": {
"value": {
"name": "{{ $('Start Interview').first().json['What is your name?'] }}",
"session_id": "={{ $('UUID').first().json.data }}"
},
"schema": [
{
"id": "session_id",
"type": "string",
"display": true,
"required": false,
"displayName": "session_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "timestamp",
"type": "string",
"display": true,
"required": false,
"displayName": "timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
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"display": true,
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},
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"type": "string",
"display": true,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "question",
"type": "string",
"display": true,
"required": false,
"displayName": "question",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "answer",
"type": "string",
"display": true,
"required": false,
"displayName": "answer",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": []
},
"options": {
"useAppend": true
}
},
"id": "2c7bdb34-d6a5-499a-8167-e656251a72f9",
"name": "Save to Google Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
120,
440
],
"typeVersion": 4.5,
"credentials": {
"googleSheetsOAuth2Api": {
"id": "ugGkJ2vK3FDjDpMx",
"name": "Google Sheets account"
}
}
},
{
"parameters": {
"fieldToSplitOut": "session",
"options": {}
},
"id": "0cc8bb7a-9127-4fdc-9b5a-a038ec1a88e2",
"name": "Session to List",
"type": "n8n-nodes-base.splitOut",
"position": [
-220,
440
],
"typeVersion": 1
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{\n{\n ...$json.session.parseJson(),\n session_id: `session_${$('UUID').first().json.data}`,\n name: $('Start Interview').first().json['What is your name?'],\n}\n}}",
"options": {}
},
"id": "e4f1a0a2-2f26-4215-8287-939c67b6e82f",
"name": "Messages To JSON",
"type": "n8n-nodes-base.set",
"position": [
-60,
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],
"typeVersion": 3.4
},
{
"parameters": {
"content": "## 5. Save the Interview to Sheets\n[Read more about the Google Sheets node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/)\n\nFor easier data-sharing, we can have the workflow upload the session messages into data analysis tools for our team members.\n\nFor this demo, Google Sheets is an easy option. We'll pull the entire session out of redis and upload the messages one by one to sheets.\n\n### Check out the example sheet here: https://docs.google.com/spreadsheets/d/1wKjVdm7HeufJkHrUJn_bW9bFI_blm0laoI_jgXKDe0Q/edit?usp=sharing",
"height": 293,
"width": 508,
"color": 7
},
"id": "cea2a164-dede-441a-81a8-4f6a9364e426",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
100
],
"typeVersion": 1
},
{
"parameters": {
"operation": "get",
"propertyName": "data",
"key": "=session_{{ $('Webhook').first().json.params.session_id }}",
"options": {}
},
"id": "5430d8ea-4f0c-40a9-8f1e-d0b77b4ca389",
"name": "Query By Session",
"type": "n8n-nodes-base.redis",
"position": [
-20,
920
],
"typeVersion": 1,
"credentials": {
"redis": {
"id": "knNOyGVUpH9IKLNz",
"name": "Redis account"
}
}
},
{
"parameters": {
"operation": "get",
"propertyName": "session",
"key": "=session_{{ $('UUID').first().json.data }}",
"keyType": "list",
"options": {}
},
"id": "c0c471f8-25c3-4f3b-8e88-e2d609867fa5",
"name": "Get Session",
"type": "n8n-nodes-base.redis",
"position": [
-380,
440
],
"executeOnce": true,
"typeVersion": 1,
"credentials": {
"redis": {
"id": "knNOyGVUpH9IKLNz",
"name": "Redis account"
}
}
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4.1",
"mode": "list",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-2080,
800
],
"id": "0ad75c5f-6d73-4b1c-bbcc-4ca6842d4c64",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"id": "qKk5wVYPDLRt63R9",
"name": "OpenAi account"
}
}
}
],
"pinData": {},
"connections": {
"UUID": {
"main": [
[
{
"node": "Create Session",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Query By Session",
"type": "main",
"index": 0
}
]
]
},
"Get Answer": {
"main": [
[
{
"node": "Generate Row",
"type": "main",
"index": 0
}
]
]
},
"Get Session": {
"main": [
[
{
"node": "Session to List",
"type": "main",
"index": 0
}
]
]
},
"Generate Row": {
"main": [
[
{
"node": "Update Session1",
"type": "main",
"index": 0
}
]
]
},
"404 Not Found": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"AI Researcher": {
"main": [
[
{
"node": "Parse Response",
"type": "main",
"index": 0
}
]
]
},
"Generate Row1": {
"main": [
[
{
"node": "Update Session2",
"type": "main",
"index": 0
}
]
]
},
"Generate Row2": {
"main": [
[
{
"node": "Update Session",
"type": "main",
"index": 0
}
]
]
},
"Create Session": {
"main": [
[
{
"node": "Generate Row2",
"type": "main",
"index": 0
}
]
]
},
"Parse Response": {
"main": [
[
{
"node": "Stop Interview?",
"type": "main",
"index": 0
}
]
]
},
"Update Session": {
"main": [
[
{
"node": "Set Interview Topic",
"type": "main",
"index": 0
}
]
]
},
"Valid Session?": {
"main": [
[
{
"node": "Show Transcript",
"type": "main",
"index": 0
}
],
[
{
"node": "404 Not Found",
"type": "main",
"index": 0
}
]
]
},
"Session to List": {
"main": [
[
{
"node": "Messages To JSON",
"type": "main",
"index": 0
}
]
]
},
"Show Transcript": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Start Interview": {
"main": [
[
{
"node": "UUID",
"type": "main",
"index": 0
}
]
]
},
"Stop Interview?": {
"main": [
[
{
"node": "Generate Row1",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Answer",
"type": "main",
"index": 0
}
]
]
},
"Update Session1": {
"main": [
[
{
"node": "Send Reply To Agent",
"type": "main",
"index": 0
}
]
]
},
"Update Session2": {
"main": [
[
{
"node": "Clear For Next Interview",
"type": "main",
"index": 0
}
]
]
},
"Messages To JSON": {
"main": [
[
{
"node": "Save to Google Sheet",
"type": "main",
"index": 0
}
]
]
},
"Query By Session": {
"main": [
[
{
"node": "Valid Session?",
"type": "main",
"index": 0
}
]
]
},
"Send Reply To Agent": {
"main": [
[
{
"node": "AI Researcher",
"type": "main",
"index": 0
}
]
]
},
"Set Interview Topic": {
"main": [
[
{
"node": "AI Researcher",
"type": "main",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Clear For Next Interview",
"type": "ai_memory",
"index": 0
}
]
]
},
"Window Buffer Memory2": {
"ai_memory": [
[
{
"node": "AI Researcher",
"type": "ai_memory",
"index": 0
}
]
]
},
"Clear For Next Interview": {
"main": [
[
{
"node": "Redirect to Completion Screen",
"type": "main",
"index": 0
}
]
]
},
"Redirect to Completion Screen": {
"main": [
[
{
"node": "Get Session",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Researcher",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "2d4526d7e2b7123bfb0e1996caa47744a7651d73096bbc7220a5e9657d119dfc"
},
"tags": [],
"id": "T1ya3n5GEOtJOy3t",
"versionId": "6d980dd8-66d2-4b59-af83-f42aa8a88719"
}
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