Workflow n8n
Automatisation BambooHR avec n8n : chatbot sur les politiques d'entreprise
- Ce workflow n8n a pour objectif de créer un chatbot alimenté par l'IA qui fournit des informations sur les politiques d'entreprise et les avantages offerts par BambooHR. Ce type d'automatisation n8n est particulièrement utile pour les départements des ressources humaines qui souhaitent améliorer l'accès à l'information pour les employés. En intégrant des modèles de langage avancés, ce chatbot peut répondre aux questions des employés concernant les politiques de l'entreprise, rendant ainsi le processus de consultation plus rapide et efficace.
- Le workflow débute par un déclencheur manuel, permettant de tester le flux à tout moment. Ensuite, les données sont chargées par le nœud 'Default Data Loader', qui prépare les informations nécessaires. Les embeddings sont générés via le nœud 'Embeddings OpenAI', et un 'Recursive Character Text Splitter' est utilisé pour segmenter le texte en morceaux gérables. Le modèle de chat OpenAI est ensuite appelé pour traiter les requêtes des utilisateurs.
- Les fichiers sont récupérés depuis BambooHR, et des filtres sont appliqués pour exclure les fichiers non pertinents. Le stockage vectoriel Supabase est utilisé pour gérer les données, garantissant une réponse rapide et précise aux requêtes des employés. En conclusion, cette automatisation permet non seulement de réduire le temps de réponse aux questions des employés, mais aussi d'améliorer l'expérience utilisateur en rendant l'information facilement accessible.
Tags clés :automatisationBambooHRchatbotn8nressources humaines
Catégorie: Manual · Tags: automatisation, BambooHR, chatbot, n8n, ressources humaines❤ 0
Workflow n8n BambooHR, chatbot, ressources humaines : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n BambooHR, chatbot, ressources humaines : détail des nœuds
Inscris-toi pour voir l'intégralité du workflow
Inscription gratuite
S'inscrire gratuitementBesoin d'aide ?{
"id": "dYjQS1bJmVSAxNnj",
"meta": {
"instanceId": "a9f3b18652ddc96459b459de4fa8fa33252fb820a9e5a1593074f3580352864a",
"templateCredsSetupCompleted": true
},
"name": "BambooHR AI-Powered Company Policies and Benefits Chatbot",
"tags": [],
"nodes": [
{
"id": "832e4a1d-320f-4793-be3c-8829776a3ce6",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
760,
560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "63be0638-d7df-4af8-ba56-555593a6de0c",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
2080,
740
],
"parameters": {
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "ffe33bb2-efd0-4b6e-a146-aaded7c28304",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1860,
740
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1.1
},
{
"id": "32de5318-ea5d-4951-b81c-3c96167bc320",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
2060,
880
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "6306d263-16c1-4a68-9318-c58fea1e3e62",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1000,
1340
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "364cf0ce-524c-4b61-89f3-40b2801bc7e3",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
840,
1340
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "901163a1-1e66-42ee-bfd0-9ed815a7c83d",
"name": "Vector Store Tool",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
1120,
1380
],
"parameters": {
"name": "company_files",
"topK": 5,
"description": "Retrieves information from the company handbook, 401k policies, benefits overview, and expense policies available to all employees."
},
"typeVersion": 1
},
{
"id": "b87fa113-6a32-48fc-8e06-049345c66f38",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1220,
1600
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "9dc1a896-c8a5-4d22-b029-14eae0717bd8",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
940,
1700
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1.1
},
{
"id": "20cda474-ef6f-48af-b299-04f1fe980d3d",
"name": "Employee Lookup Tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1440,
1360
],
"parameters": {
"name": "employee_lookup_tool",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool with the full name of an employee to retrieve their details from our HRIS, including their job title, department, and supervisor. If an employee name is not provided, you may call this tool with a department name to retrieve the most senior person in that department. This tool requires an exact match on employee names but can infer the senior-most person for a department query.",
"jsonSchemaExample": "{\n\t\"name\": \"The name of an employee or department\"\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "55718295-459b-4a4b-8c57-fd6b31e3d963",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1960,
1500
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "e574d63d-7e38-4d90-9533-64a4ddbe2e36",
"name": "OpenAI Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2980,
1600
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "04d53430-b8d9-43ff-b2c4-ef0da2d799c0",
"name": "OpenAI Chat Model4",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3700,
1620
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "9759fe08-3c81-4472-8d62-2c5d26156984",
"name": "Auto-fixing Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
3880,
1600
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d8830fd8-f238-4e5d-8c5f-bf83c9450dbe",
"name": "OpenAI Chat Model5",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3780,
1700
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XXXXXX",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "da580308-e4ed-400b-99e2-31baf27b039d",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
4080,
1700
],
"parameters": {
"jsonSchemaExample": "{\n\t\"name\": \"The name of an employee\"\n}"
},
"typeVersion": 1.2
},
{
"id": "e81dbe81-5f6b-4b2c-a4bc-afa0136e33ac",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
680,
460
],
"parameters": {
"color": 7,
"width": 1695.17727595829,
"height": 582.7965199011514,
"content": "## STEP #1: Retrieve company policies and load them into a vector store"
},
"typeVersion": 1
},
{
"id": "629872ed-2f99-424d-96da-feee6df96d3d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
680,
1080
],
"parameters": {
"color": 4,
"width": 873.5637402697844,
"height": 780.6181567295652,
"content": "## BambooHR AI-Powered HR Benefits and Company Policies Chatbot"
},
"typeVersion": 1
},
{
"id": "8888281b-5701-4c62-b76b-a0b6a80d8463",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1580,
1075.4375994898523
],
"parameters": {
"color": 7,
"width": 2783.3549952823255,
"height": 781.525845027296,
"content": "## (Optional) STEP #2: Set up employee lookup tool"
},
"typeVersion": 1
},
{
"id": "17044553-d081-4c17-8108-d0327709f352",
"name": "GET all files",
"type": "n8n-nodes-base.bambooHr",
"position": [
960,
560
],
"parameters": {
"resource": "file",
"operation": "getAll",
"returnAll": true,
"simplifyOutput": false
},
"credentials": {
"bambooHrApi": {
"id": "XXXXXX",
"name": "BambooHR account"
}
},
"typeVersion": 1
},
{
"id": "939881b1-eb18-4ab7-ac4a-9edcc218356f",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
720
],
"parameters": {
"color": 5,
"width": 177.89252000024067,
"height": 99.24268260893132,
"content": "Toggle **off** the _simplify_ option to ensure categories are retrieved as well"
},
"typeVersion": 1
},
{
"id": "0907a1d3-97e2-4219-bfbc-524186f6d889",
"name": "Filter out files from undesired categories",
"type": "n8n-nodes-base.filter",
"position": [
1160,
560
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b85b86cd-0b54-4348-a538-8ff4ae625b9a",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.name }}",
"rightValue": "=Company Files"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "43069219-7cd9-4515-846d-ed6a0f9bbb61",
"name": "Split out individual files",
"type": "n8n-nodes-base.splitOut",
"position": [
1360,
560
],
"parameters": {
"options": {},
"fieldToSplitOut": "files"
},
"typeVersion": 1
},
{
"id": "8412af5f-f07f-4a98-a174-e363ba04f902",
"name": "Filter out non-pdf files",
"type": "n8n-nodes-base.filter",
"position": [
1560,
560
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "73cc2cb9-04fa-43e7-a459-de0bf26ffb18",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.originalFileName.endsWith(\".pdf\") }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "7e007a29-c902-41d3-ab22-f6a93bc43f7d",
"name": "Download file from BambooHR",
"type": "n8n-nodes-base.bambooHr",
"position": [
1760,
560
],
"parameters": {
"fileId": "={{ $json.id }}",
"resource": "file",
"operation": "download"
},
"credentials": {
"bambooHrApi": {
"id": "XXXXXX",
"name": "BambooHR account"
}
},
"typeVersion": 1
},
{
"id": "cec7ce3a-77df-4400-8683-fb5cf87004b6",
"name": "Supabase Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
1960,
560
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "match_files"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "company_files",
"cachedResultName": "company_files"
}
},
"credentials": {
"supabaseApi": {
"id": "XXXXXX",
"name": "Supabase account"
}
},
"typeVersion": 1
},
{
"id": "5e070dc3-5f6d-44bb-a655-b769aac14890",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1600,
1140
],
"parameters": {
"color": 5,
"width": 530.9221622705562,
"height": 91.00370621080086,
"content": "This employee lookup tool gives the AI Benefits and Company Policies chatbot additional superpowers by allowing it to **search for an individual or a department to retrieve contact information from BambooHR**."
},
"typeVersion": 1
},
{
"id": "8f3cd44e-d1e5-4806-9d89-78c8728ea0e4",
"name": "Employee initiates a conversation",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
760,
1140
],
"webhookId": "27ec9df7-5007-4642-81c7-7fcf7e834c43",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "3d56dc6a-13e2-404b-ad38-6370b9610f61",
"name": "Supabase Vector Store Retrieval",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
940,
1540
],
"parameters": {
"options": {
"queryName": "match_files"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "company_files",
"cachedResultName": "company_files"
}
},
"credentials": {
"supabaseApi": {
"id": "XXXXXX",
"name": "Supabase account"
}
},
"typeVersion": 1
},
{
"id": "1e6f5d4a-5897-42b7-bfcf-e69b7880b6c4",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
680,
1880
],
"parameters": {
"width": 865.771928038017,
"height": 281.07009330339326,
"content": "### AI Chatbot Operating Guidelines \n- When an employee asks for a contact person, first attempt to find the relevant contact in company_files. \n- If a contact person is found but their details (e.g., email or phone number) are missing, use the `employee_lookup_tool` to retrieve their contact details. \n- If no contact person is found: \n 1. Use the `employee_lookup_tool` with \"HR\" (or another relevant department) to retrieve the most senior person in that department. \n 2. If no senior contact is found, ask the employee for their name. \n 3. Use the `employee_lookup_tool` to retrieve their supervisor’s name. \n 4. Use the `employee_lookup_tool` to retrieve their supervisor’s details. \n 5. Provide the supervisor's contact information and recommend them as the best next point of contact. "
},
"typeVersion": 1
},
{
"id": "ba8c82cb-4972-46cc-8594-dfe71149a41c",
"name": "AI-Powered HR Benefits and Company Policies Chatbot",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1640,
1340
],
"parameters": {},
"typeVersion": 1
},
{
"id": "aaf611fd-1779-4826-8f9c-4e9a7a538af0",
"name": "Text Classifier",
"type": "@n8n/n8n-nodes-langchain.textClassifier",
"position": [
1840,
1340
],
"parameters": {
"options": {},
"inputText": "={{ $json.query.name }}",
"categories": {
"categories": [
{
"category": "person",
"description": "This is the name of a person."
},
{
"category": "department",
"description": "This is the name of a department within the company."
}
]
}
},
"typeVersion": 1
},
{
"id": "4a1e0d47-87f8-4301-9aee-2227003a40e6",
"name": "GET all employees",
"type": "n8n-nodes-base.bambooHr",
"position": [
2260,
1240
],
"parameters": {
"operation": "getAll",
"returnAll": true
},
"credentials": {
"bambooHrApi": {
"id": "XXXXXX",
"name": "BambooHR account"
}
},
"typeVersion": 1
},
{
"id": "93e1017a-07c6-4b97-be90-659a91fdc065",
"name": "Filter out other employees",
"type": "n8n-nodes-base.filter",
"position": [
2460,
1240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "e80c892e-21dc-4d6e-8ef6-c2ffaea6d43e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.displayName }}",
"rightValue": "={{ $('AI-Powered HR Benefits and Company Policies Chatbot').item.json.query.name }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c45eec9a-05ca-4b35-b595-42f2251a01ec",
"name": "Stringify employee record for response",
"type": "n8n-nodes-base.set",
"position": [
2660,
1240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "73ae7ef0-339a-4e32-bbc9-c40cefd37757",
"name": "response",
"type": "string",
"value": "={{ $json.toJsonString() }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "aa30062a-2476-4fc2-8380-6d2106885ae2",
"name": "GET all employees (second path)",
"type": "n8n-nodes-base.bambooHr",
"position": [
2260,
1440
],
"parameters": {
"operation": "getAll",
"returnAll": true
},
"credentials": {
"bambooHrApi": {
"id": "XXXXXX",
"name": "BambooHR account"
}
},
"typeVersion": 1
},
{
"id": "f44cb9ab-00aa-4ebc-bb1a-6ba1da2e2aaa",
"name": "Extract departments",
"type": "n8n-nodes-base.aggregate",
"position": [
2460,
1440
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"renameField": true,
"outputFieldName": "departments",
"fieldToAggregate": "department"
}
]
}
},
"typeVersion": 1
},
{
"id": "855a6968-d919-4071-96d8-04cbc4b6ec39",
"name": "Ensure uniqueness in department list",
"type": "n8n-nodes-base.set",
"position": [
2660,
1440
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "34f456ff-d2c5-431f-ade3-ace48abd0c6a",
"name": "departments",
"type": "array",
"value": "={{ $json.departments.unique() }}"
},
{
"id": "cf31288a-65fc-45c6-8b6f-6680020dce09",
"name": "query",
"type": "string",
"value": "={{ $('Text Classifier').item.json.query.name }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0dca5763-33c6-4444-b4e0-f26127bb91d5",
"name": "Extract department",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
2860,
1440
],
"parameters": {
"text": "={{ $json.query }}",
"options": {},
"attributes": {
"attributes": [
{
"name": "department",
"description": "=The department from the following list that would be most applicable:\n{{ $json.departments }}"
}
]
}
},
"typeVersion": 1
},
{
"id": "833b43e8-7ed5-4431-b362-b5d11bb9f787",
"name": "Retrieve all employees",
"type": "n8n-nodes-base.bambooHr",
"position": [
3220,
1440
],
"parameters": {
"operation": "getAll",
"returnAll": true
},
"credentials": {
"bambooHrApi": {
"id": "XXXXXX",
"name": "BambooHR account"
}
},
"typeVersion": 1
},
{
"id": "adcaafb5-700f-4e93-a7f4-c393967fb4f0",
"name": "Filter out other departments",
"type": "n8n-nodes-base.filter",
"position": [
3420,
1440
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a88bf53c-ecfd-49a7-8180-1e8b8eaeb6fd",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.department }}",
"rightValue": "={{ $('Extract department').item.json.output.department }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "fe928eb9-2b70-4ab9-a5a6-a4c141467ad7",
"name": "Extract relevant employee fields",
"type": "n8n-nodes-base.aggregate",
"position": [
3620,
1440
],
"parameters": {
"include": "specifiedFields",
"options": {},
"aggregate": "aggregateAllItemData",
"fieldsToInclude": "id, displayName, jobTitle, workEmail",
"destinationFieldName": "department_employees"
},
"typeVersion": 1
},
{
"id": "0632ae1b-280e-486e-9cdd-c6c9fd2a1b6e",
"name": "Identify most senior employee",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
3800,
1440
],
"parameters": {
"text": "=Who is the most senior employee from this list:\n{{ $json.department_employees.toJsonString() }}",
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.4
},
{
"id": "0e6c8d0a-d84f-468b-993b-c5a14d7d458f",
"name": "Format name for response",
"type": "n8n-nodes-base.set",
"position": [
4160,
1440
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2b4412bf-142b-4ba0-a6b2-654e97c263e5",
"name": "response",
"type": "string",
"value": "={{ $json.output.name }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e865d8bf-ab6d-4d23-9d7c-a76f96ba75a1",
"name": "HR AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1040,
1140
],
"parameters": {
"options": {
"systemMessage": "You are a helpful HR assistant accessible by employees at our company.\n\nObjective: \nAssist employees with questions regarding company policies, documents, and escalation procedures.\n\nTools: \n1. A vector store database (company_files) containing the company handbook, 401k policy, expense policy, and employee benefits. \n2. An employee lookup tool (employee_lookup_tool) that retrieves details about an employee when provided with their name. It can also retrieve the most senior person in a department if given a department name. \n\nGuidelines: \n- When an employee asks for a contact person, first attempt to find the relevant contact in company_files. \n- If a contact person is found but their details (e.g., email or phone number) are missing, use the `employee_lookup_tool` to retrieve their contact details. \n- If no contact person is found: \n 1. Use the `employee_lookup_tool` with \"HR\" (or another relevant department) to retrieve the most senior person in that department. \n 2. If no senior contact is found, ask the employee for their name. \n 3. Use the `employee_lookup_tool` to retrieve their supervisor’s name. \n 4. Use the `employee_lookup_tool` to retrieve their supervisor’s details. \n 5. Provide the supervisor's contact information and recommend them as the best next point of contact. \n"
}
},
"typeVersion": 1.7
},
{
"id": "3aa42dcf-a411-4bd8-87b3-9ab9d0043303",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1600,
1660
],
"parameters": {
"color": 3,
"width": 340.93489445096634,
"height": 180.79319430657273,
"content": "### GetAll employees from BambooHR\nBambooHR does not offer search by {field} functionality for its `/employees` endpoint, so filtering must be done after data retrieval. This can be inefficient for very large organizations where there may be multiple employees with the same name or simply a large number of employees."
},
"typeVersion": 1
},
{
"id": "3b3b400c-9c7e-4fd0-91f3-1c6bcf05617f",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
2240,
1140
],
"parameters": {
"color": 5,
"width": 542.9452105095002,
"height": 89.69037140899545,
"content": "### GET singular employee by name path\nThis path may be used multiple times by the HR AI Agent to look up the employee's details, and then to look up their supervisor's details."
},
"typeVersion": 1
},
{
"id": "6ad78a36-e68d-4b0d-b532-ca67bcd0738d",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
2240,
1620
],
"parameters": {
"color": 5,
"width": 542.9452105095002,
"height": 121.0648445295759,
"content": "### GET senior leader of department path\nThis path would normally only be used when no other contacts can be identified from the company_files. The employee can retrieve the contact details for the most senior leader of a department should they request it."
},
"typeVersion": 1
},
{
"id": "25d1e603-cce0-4cd1-9293-810880c65584",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
4020,
1320
],
"parameters": {
"color": 5,
"width": 300.8019702746294,
"height": 97.8161667645835,
"content": "### Final node returns employee name\nThe AI Agent can then call the employee lookup path to retrieve details, if requested."
},
"typeVersion": 1
},
{
"id": "e7076eaa-a67e-4b02-9aec-553c405f3bb9",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
700,
940
],
"parameters": {
"color": 4,
"width": 244.3952545193282,
"height": 87.34661077350344,
"content": "## About the maker\n**[Find Ludwig Gerdes on LinkedIn](https://www.linkedin.com/in/ludwiggerdes)**"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {
"AI-Powered HR Benefits and Company Policies Chatbot": [
{
"json": {
"query": {
"name": "HR"
}
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "b4306b84-994f-4cd0-b40c-33a234f75ef9",
"connections": {
"GET all files": {
"main": [
[
{
"node": "Filter out files from undesired categories",
"type": "main",
"index": 0
}
]
]
},
"Text Classifier": {
"main": [
[
{
"node": "GET all employees",
"type": "main",
"index": 0
}
],
[
{
"node": "GET all employees (second path)",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"GET all employees": {
"main": [
[
{
"node": "Filter out other employees",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "HR AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Vector Store Tool": {
"ai_tool": [
[
{
"node": "HR AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store Retrieval",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Extract department": {
"main": [
[
{
"node": "Retrieve all employees",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Vector Store Tool",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Text Classifier",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "Extract department",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model4": {
"ai_languageModel": [
[
{
"node": "Identify most senior employee",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model5": {
"ai_languageModel": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Extract departments": {
"main": [
[
{
"node": "Ensure uniqueness in department list",
"type": "main",
"index": 0
}
]
]
},
"Employee Lookup Tool": {
"ai_tool": [
[
{
"node": "HR AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "HR AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Retrieve all employees": {
"main": [
[
{
"node": "Filter out other departments",
"type": "main",
"index": 0
}
]
]
},
"Filter out non-pdf files": {
"main": [
[
{
"node": "Download file from BambooHR",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
"node": "Identify most senior employee",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Filter out other employees": {
"main": [
[
{
"node": "Stringify employee record for response",
"type": "main",
"index": 0
}
]
]
},
"Split out individual files": {
"main": [
[
{
"node": "Filter out non-pdf files",
"type": "main",
"index": 0
}
]
]
},
"Download file from BambooHR": {
"main": [
[
{
"node": "Supabase Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Filter out other departments": {
"main": [
[
{
"node": "Extract relevant employee fields",
"type": "main",
"index": 0
}
]
]
},
"Identify most senior employee": {
"main": [
[
{
"node": "Format name for response",
"type": "main",
"index": 0
}
]
]
},
"GET all employees (second path)": {
"main": [
[
{
"node": "Extract departments",
"type": "main",
"index": 0
}
]
]
},
"Supabase Vector Store Retrieval": {
"ai_vectorStore": [
[
{
"node": "Vector Store Tool",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Extract relevant employee fields": {
"main": [
[
{
"node": "Identify most senior employee",
"type": "main",
"index": 0
}
]
]
},
"Employee initiates a conversation": {
"main": [
[
{
"node": "HR AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "GET all files",
"type": "main",
"index": 0
}
]
]
},
"Ensure uniqueness in department list": {
"main": [
[
{
"node": "Extract department",
"type": "main",
"index": 0
}
]
]
},
"Filter out files from undesired categories": {
"main": [
[
{
"node": "Split out individual files",
"type": "main",
"index": 0
}
]
]
},
"AI-Powered HR Benefits and Company Policies Chatbot": {
"main": [
[
{
"node": "Text Classifier",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n BambooHR, chatbot, ressources humaines : pour qui est ce workflow ?
Ce workflow s'adresse aux départements des ressources humaines et aux entreprises de taille moyenne à grande qui souhaitent automatiser la gestion des informations relatives aux politiques d'entreprise. Il est conçu pour des utilisateurs ayant un niveau technique intermédiaire, familiarisés avec les outils d'automatisation et d'IA.
Workflow n8n BambooHR, chatbot, ressources humaines : problème résolu
Ce workflow résout le problème de l'accès limité à l'information sur les politiques d'entreprise et les avantages pour les employés. En automatisant les réponses aux questions courantes, il élimine les frustrations liées à la recherche d'informations, réduit le temps passé par les équipes RH à répondre aux demandes répétitives et améliore la satisfaction des employés. Les utilisateurs bénéficient d'un accès instantané à des réponses précises, ce qui augmente l'efficacité globale.
Workflow n8n BambooHR, chatbot, ressources humaines : étapes du workflow
Étape 1 : Le workflow est déclenché manuellement pour tester son fonctionnement.
- Étape 1 : Les données nécessaires sont chargées via le nœud 'Default Data Loader'.
- Étape 2 : Les embeddings sont générés à l'aide du nœud 'Embeddings OpenAI'.
- Étape 3 : Le texte est segmenté grâce au 'Recursive Character Text Splitter'.
- Étape 4 : Le modèle de chat OpenAI traite les requêtes des utilisateurs.
- Étape 5 : Les fichiers sont récupérés depuis BambooHR, avec des filtres appliqués pour exclure les fichiers non pertinents.
- Étape 6 : Les données sont stockées dans Supabase pour un accès rapide.
Workflow n8n BambooHR, chatbot, ressources humaines : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier les paramètres du nœud 'Default Data Loader' pour ajuster les types de données chargées. Il est également possible de changer les options du modèle OpenAI pour affiner les réponses fournies par le chatbot. Si vous souhaitez intégrer d'autres outils, vous pouvez ajouter des nœuds supplémentaires pour interagir avec des API externes. Assurez-vous de sécuriser le flux en vérifiant les permissions d'accès aux données sensibles et en monitorant les performances du chatbot.