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BambooHR AI-Powered Company Policies and Benefits Chatbot

Automate the creation and maintenance of an AI-powered chatbot that answers employee questions about company policies and benefits directly from your BambooHR documents, powered by Supabase and OpenAI. This workflow starts by fetching all policy and benefits documents from BambooHR using the GET all files node, then filters out undesired categories and non-PDF files before downloading each relevant document. These documents are then processed by AI nodes like Recursive Character Text Splitter and Embeddings OpenAI, and stored in a Supabase Vector Store, creating a searchable knowledge base. When an employee initiates a conversation via the Employee initiates a conversation trigger, the AI-Powered HR Benefits and Company Policies Chatbot leverages OpenAI Chat Models and the Supabase Vector Store Retrieval to provide accurate, context-aware answers, even using tools like the Employee Lookup Tool to fetch specific employee data when necessary. This eliminates manual HR inquiries, reduces HR workload, and provides instant, 24/7 support for employees seeking information on company policies, benefits, and even specific employee details, saving significant time and resources for HR departments and improving employee satisfaction.

50 nodesmanual trigger95 views0 copiesProductivity
SupabaseOpenAI

Workflow JSON

{"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 \u2018Test workflow\u2019", "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your openAiApi]"}}, "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": "", "name": "[Your bambooHrApi]"}}, "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": "", "name": "[Your bambooHrApi]"}}, "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": "", "name": "[Your supabaseApi]"}}, "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": "", "name": "[Your supabaseApi]"}}, "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\u2019s name. \n 4. Use the `employee_lookup_tool` to retrieve their supervisor\u2019s 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": "", "name": "[Your bambooHrApi]"}}, "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": "", "name": "[Your bambooHrApi]"}}, "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": "", "name": "[Your bambooHrApi]"}}, "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\u2019s name. \n 4. Use the `employee_lookup_tool` to retrieve their supervisor\u2019s 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 \u2018Test workflow\u2019": {"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}]]}}}

How to Import This Workflow

  1. 1Copy the workflow JSON above using the Copy Workflow JSON button.
  2. 2Open your n8n instance and go to Workflows.
  3. 3Click Import from JSON and paste the copied workflow.

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