This workflow follows the Chainllm → Chainsummarization recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "t1P14FvfibKYCh3E",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "HR-focused automation pipeline with AI",
"tags": [],
"nodes": [
{
"id": "b1092f93-502c-4af0-962e-2b69311b92a3",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-520,
-200
],
"parameters": {
"options": {},
"formTitle": "Send CV",
"formFields": {
"values": [
{
"fieldLabel": "Name",
"placeholder": "Name",
"requiredField": true
},
{
"fieldType": "email",
"fieldLabel": "Email",
"placeholder": "Email",
"requiredField": true
},
{
"fieldType": "file",
"fieldLabel": "CV",
"requiredField": true,
"acceptFileTypes": ".pdf"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "77edfe2a-4c6a-48c8-8dc9-b275491be090",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-160,
-200
],
"parameters": {
"options": {},
"operation": "pdf",
"binaryPropertyName": "CV"
},
"typeVersion": 1
},
{
"id": "ebf2e194-3515-4c0a-8745-790b63bf336f",
"name": "Qualifications",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
160,
-100
],
"parameters": {
"text": "={{ $json.text }}",
"options": {
"systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."
},
"attributes": {
"attributes": [
{
"name": "Educational qualification",
"required": true,
"description": "Summary of your academic career. Focus on your high school and university studies. Summarize in 100 words maximum and also include your grade if applicable."
},
{
"name": "Job History",
"required": true,
"description": "Work history summary. Focus on your most recent work experiences. Summarize in 100 words maximum"
},
{
"name": "Skills",
"required": true,
"description": "Extract the candidate\u2019s technical skills. What software and frameworks they are proficient in. Make a bulleted list."
}
]
}
},
"typeVersion": 1
},
{
"id": "4f40404c-1d47-4bde-9b4b-16367cf11e4f",
"name": "Summarization Chain",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
900,
-220
],
"parameters": {
"options": {
"summarizationMethodAndPrompts": {
"values": {
"prompt": "=Write a concise summary of the following:\n\nCity: {{ $json.output.city }}\nBirthdate: {{ $json.output.birthdate }}\nEducational qualification: {{ $json.output[\"Educational qualification\"] }}\nJob History: {{ $json.output[\"Job History\"] }}\nSkills: {{ $json.output.Skills }}\n\nUse 100 words or less. Be concise and conversational.",
"combineMapPrompt": "=Write a concise summary of the following:\n\nCity: {{ $json.output.city }}\nBirthdate: {{ $json.output.birthdate }}\nEducational qualification: {{ $json.output[\"Educational qualification\"] }}\nJob History: {{ $json.output[\"Job History\"] }}\nSkills: {{ $json.output.Skills }}\n\nUse 100 words or less. Be concise and conversational."
}
}
}
},
"typeVersion": 2
},
{
"id": "9f9c5f16-1dc2-4928-aef8-284daeb6be51",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
660,
-220
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3
},
{
"id": "51bd14cc-2c54-4f72-b162-255f7e277aff",
"name": "Profile Wanted",
"type": "n8n-nodes-base.set",
"position": [
1300,
-220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a3d049b0-5a70-4e7b-a6f2-81447da5282a",
"name": "profile_wanted",
"type": "string",
"value": "We are a web agency and we are looking for a full-stack web developer who knows how to use PHP, Python and Javascript. He has experience in the sector and lives in Northern Italy."
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4a120e5d-b849-4a29-b7f3-12c653552367",
"name": "Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
1960,
-220
],
"parameters": {
"columns": {
"value": {
"CITY": "={{ $('Merge').item.json.output.city }}",
"DATA": "={{ $now.format('dd/LL/yyyy') }}",
"NAME": "={{ $('On form submission').item.json.Nome }}",
"VOTE": "={{ $json.output.vote }}",
"EMAIL": "={{ $('On form submission').item.json.Email }}",
"SKILLS": "={{ $('Merge').item.json.output.Skills }}",
"TELEFONO": "={{ $('Merge').item.json.output.telephone }}",
"SUMMARIZE": "={{ $('Summarization Chain').item.json.response.text }}",
"EDUCATIONAL": "={{ $('Merge').item.json.output[\"Educational qualification\"] }}",
"JOB HISTORY": "={{ $('Merge').item.json.output[\"Job History\"] }}",
"DATA NASCITA": "={{ $('Merge').item.json.output.birthdate }}",
"CONSIDERATION": "={{ $json.output.consideration }}"
},
"schema": [
{
"id": "DATA",
"type": "string",
"display": true,
"required": false,
"displayName": "DATA",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "NAME",
"type": "string",
"display": true,
"required": false,
"displayName": "NAME",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "PHONE",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "PHONE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CITY",
"type": "string",
"display": true,
"required": false,
"displayName": "CITY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "EMAIL",
"type": "string",
"display": true,
"required": false,
"displayName": "EMAIL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "DATA NASCITA",
"type": "string",
"display": true,
"required": false,
"displayName": "DATA NASCITA",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "EDUCATIONAL",
"type": "string",
"display": true,
"required": false,
"displayName": "EDUCATIONAL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "JOB HISTORY",
"type": "string",
"display": true,
"required": false,
"displayName": "JOB HISTORY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "SKILLS",
"type": "string",
"display": true,
"required": false,
"displayName": "SKILLS",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "SUMMARIZE",
"type": "string",
"display": true,
"required": false,
"displayName": "SUMMARIZE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "VOTE",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "VOTE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CONSIDERATION",
"type": "string",
"display": true,
"required": false,
"displayName": "CONSIDERATION",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE/edit#gid=0",
"cachedResultName": "Foglio1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE/edit?usp=drivesdk",
"cachedResultName": "Ricerca WebDev"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.5
},
{
"id": "a154d8a5-9f85-45bb-b082-f702c13c3507",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1720,
-20
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"vote\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"consideration\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
},
"typeVersion": 1.2
},
{
"id": "037ac851-7885-4b78-ac75-dfa0ebb6003d",
"name": "HR Expert",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1560,
-220
],
"parameters": {
"text": "=Profilo ricercato:\n{{ $json.profile_wanted }}\n\nCandidato:\n{{ $('Summarization Chain').item.json.response.text }}",
"messages": {
"messageValues": [
{
"message": "Sei un esperto HR e devi capire se il candidato \u00e8 in linea con il profilo ricercato dall'azienda.\n\nDevi dare un voto da 1 a 10 dove 1 significa che il candidato non \u00e8 in linea con quanto richiesto mentre 10 significa che \u00e8 il candidato ideale perch\u00e8 rispecchia in toto il profilo cercato.\n\nInoltre nel campo \"consideration\" motiva il perch\u00e8 hai dato quel voto. "
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "ed5744c4-df06-4a01-a103-af4dd470d482",
"name": "Personal Data",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
160,
-280
],
"parameters": {
"text": "={{ $json.text }}",
"options": {
"systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."
},
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"telephone\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n \"city\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n \"birthdate\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
},
"typeVersion": 1
},
{
"id": "181c1249-b05c-4c35-8cac-5f9738cc1fe6",
"name": "Upload CV",
"type": "n8n-nodes-base.googleDrive",
"position": [
-160,
-380
],
"parameters": {
"name": "=CV-{{ $now.format('yyyyLLdd') }}-{{ $json.CV[0].filename }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1tzeSpx4D3EAGXa3Wg-gqGbdaUk6LIZTV",
"cachedResultUrl": "https://drive.google.com/drive/folders/1tzeSpx4D3EAGXa3Wg-gqGbdaUk6LIZTV",
"cachedResultName": "CV"
},
"inputDataFieldName": "CV"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "d31ee1c4-e4be-41d9-8f36-e6fb797ced8e",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
920,
240
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "0290cb72-a581-4aff-8b5d-1aa63e0a630f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
-680
],
"parameters": {
"color": 3,
"width": 540,
"content": "## HR Expert \nThis workflow automates the process of handling job applications by extracting relevant information from submitted CVs, analyzing the candidate's qualifications against a predefined profile, and storing the results in a Google Sheet"
},
"typeVersion": 1
},
{
"id": "361084ff-9735-4a56-8988-be573391838b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-460
],
"parameters": {
"width": 300,
"height": 420,
"content": "The CV is uploaded to Google Drive and converted so that it can be processed\n"
},
"typeVersion": 1
},
{
"id": "4b6f004f-c77b-4522-99d4-737a68f6cfac",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-380
],
"parameters": {
"width": 360,
"height": 440,
"content": "The essential information for evaluating the candidate is collected in two different chains"
},
"typeVersion": 1
},
{
"id": "73e11af9-65e3-4fcd-bb99-8a3f212ce9fb",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
860,
-300
],
"parameters": {
"width": 320,
"height": 240,
"content": "Summary of relevant information useful for classifying the candidate"
},
"typeVersion": 1
},
{
"id": "606711d1-8e6d-44b3-91ac-c047d8a4054f",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
-300
],
"parameters": {
"width": 220,
"height": 240,
"content": "Characteristics of the profile sought by the company that intends to hire the candidate"
},
"typeVersion": 1
},
{
"id": "89c3210c-c599-41dc-97a3-bf8df2beb751",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1500,
-300
],
"parameters": {
"width": 360,
"height": 240,
"content": "Candidate evaluation with vote and considerations of the HR agent relating the profile sought with the candidate's skills"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "594728c0-b842-404d-8810-c6f7f3f4631d",
"connections": {
"Merge": {
"main": [
[
{
"node": "Summarization Chain",
"type": "main",
"index": 0
}
]
]
},
"OpenAI": {
"ai_languageModel": [
[
{
"node": "Qualifications",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Summarization Chain",
"type": "ai_languageModel",
"index": 0
},
{
"node": "HR Expert",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Personal Data",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"HR Expert": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Upload CV": {
"main": [
[]
]
},
"Personal Data": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Profile Wanted": {
"main": [
[
{
"node": "HR Expert",
"type": "main",
"index": 0
}
]
]
},
"Qualifications": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Qualifications",
"type": "main",
"index": 0
},
{
"node": "Personal Data",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
},
{
"node": "Upload CV",
"type": "main",
"index": 0
}
]
]
},
"Summarization Chain": {
"main": [
[
{
"node": "Profile Wanted",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "HR Expert",
"type": "ai_outputParser",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApigoogleSheetsOAuth2ApiopenAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This HR-focused automation pipeline streamlines candidate screening by processing submitted forms and extracting key qualifications using AI, saving recruiters hours of manual review each week. It analyses CVs or resumes to summarise skills, experience, and fit for specific roles, then logs structured data into Google Sheets for easy team collaboration. Ideal for growing teams handling high volumes of applications, the core step involves the AI-powered information extraction and summarisation chain that intelligently parses and condenses candidate details.
Use this workflow when onboarding new hires or scaling recruitment efforts with consistent, event-driven form submissions from your website or ATS. Avoid it for non-HR tasks or when dealing with unstructured data beyond files like PDFs, as it relies on predefined extraction prompts. Common variations include adapting the AI chains for performance reviews or employee feedback analysis, or integrating with tools like Slack for real-time notifications.
About this workflow
HR-focused automation pipeline with AI. Uses formTrigger, extractFromFile, informationExtractor, chainSummarization. Event-driven trigger; 18 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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