modelo do chatbot
Automate a chatbot that responds to user queries using a knowledge base and external APIs. It connects OpenAI for AI processing, MySQL and PostgreSQL for data retrieval and chat memory, and external APIs for additional information. This workflow is ideal for customer support teams needing automated responses, developers building interactive AI agents, or businesses wanting to provide instant information to users.
Workflow JSON
{"id": "BMI5WkmyU8nZqfII", "meta": {"instanceId": "e03b0f22ca12c92061d789d5980a9bc31d9d7e7dd7513ac93c09ac5a0d147623", "templateCredsSetupCompleted": true}, "name": "modelo do chatbot", "tags": [], "nodes": [{"id": "c6e454af-70a1-4c65-8450-8159f7fc738b", "name": "If", "type": "n8n-nodes-base.if", "position": [160, 560], "parameters": {"options": {}, "conditions": {"options": {"version": 1, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "7ea831a4-0e20-4725-a6f5-3dc2f41f1cf4", "operator": {"type": "object", "operation": "exists", "singleValue": true}, "leftValue": "={{ $json.leadData }}", "rightValue": ""}, {"id": "ccb46339-4e43-42e6-aa45-d5a0cbd62214", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "", "rightValue": ""}]}}, "typeVersion": 2}, {"id": "2221736f-ef99-4ac8-8a81-51af6d4e7dcd", "name": "Edit Fields1", "type": "n8n-nodes-base.set", "position": [440, 960], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "19a16867-b574-4b99-82f1-a86752b7fe9f", "name": "chatInput", "type": "string", "value": "=\"Hello, just so you can get to know me, with no intention of a response, please save this information in your memory. My name is {{ $json.leadData.name }}. I am {{ $json.leadData.age }} years old and currently live in {{ $json.leadData.city }}, {{ $json.leadData.state }}. My profession is {{ $json.leadData.profession }}, and my education level is {{ $json.leadData.educationLevel }}.\nIf I\u2019m part of an adhesion group and have an entity, it would be {{ $json.leadData.entity }}.\n\nI am using a {{ $json.leadData.deviceType }} device to access this through the {{ $json.leadData.channel }} channel. At the moment, I am looking for a health insurance plan of type {{ $json.leadData.quotationType }}.\""}, {"id": "0df8d578-8332-4cde-9044-489de16ab390", "name": "session_id", "type": "string", "value": "={{ $json.session_id }}"}]}}, "typeVersion": 3.4}, {"id": "6aa1b3a4-0e6a-4312-9d9f-f67c4bf8f443", "name": "Edit Fields2", "type": "n8n-nodes-base.set", "position": [920, 960], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "19a16867-b574-4b99-82f1-a86752b7fe9f", "name": "chatInput", "type": "string", "value": "={{ $('Chat Trigger').item.json.chatInput}}"}, {"id": "0df8d578-8332-4cde-9044-489de16ab390", "name": "session_id", "type": "string", "value": "={{ $('Chat Trigger').item.json.session_id }}"}]}}, "typeVersion": 3.4}, {"id": "6afe6158-7a8b-4a83-a778-6fd28e2a11af", "name": "OpenAI", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [600, 960], "parameters": {"options": {}, "resource": "assistant", "assistantId": {"__rl": true, "mode": "list", "value": "asst_numdCoMZPQ6GwfiJg5drg9hr", "cachedResultName": "Chat IA - Testes - Dezembro - APIS"}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1.4}, {"id": "4b961f1d-7da2-4a0b-98e3-7ec35ee14335", "name": "Chat Trigger", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [-20, 560], "webhookId": "1f83e8ac-d465-454a-8327-cef7f0149cb1", "parameters": {"public": true, "options": {}, "initialMessages": "Ol\u00e1 \ud83d\udc4b\nSou Jovelino, o servi\u00e7o de IA do Joov, me mande sua pergunta e responderei em seguida! :)"}, "typeVersion": 1}, {"id": "dccdb07f-97db-4a5a-9b09-02a5de65246e", "name": "Postgres Chat Memory", "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat", "position": [640, 720], "parameters": {"tableName": "aimessages", "sessionKey": "={{ $('Chat Trigger').item.json.session_id }}{{ $json.sessionId }}", "sessionIdType": "customKey", "contextWindowLength": 30}, "credentials": {"postgres": {"id": "", "name": "[Your postgres]"}}, "typeVersion": 1.3}, {"id": "553dd27b-ab06-4605-99e0-8f15735cfff3", "name": "Postgres Chat Memory1", "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat", "position": [760, 1160], "parameters": {"tableName": "aimessages", "sessionKey": "={{ $('Chat Trigger').item.json.session_id }}{{ $json.sessionId }}", "sessionIdType": "customKey", "contextWindowLength": 1}, "credentials": {"postgres": {"id": "", "name": "[Your postgres]"}}, "typeVersion": 1.3}, {"id": "0103fb97-c691-4bd3-b26d-85aaa9774594", "name": "Products in Daatabase", "type": "n8n-nodes-base.mySqlTool", "position": [1460, 600], "parameters": {"query": "SELECT * \nFROM Products p \nWHERE \n cityQuery = '{{ $fromAI(\"cityQuery\") }}' AND \n state = '{{ $fromAI(\"state\") }}' AND \n modality = 'PME' AND \n removed = 0 AND \n ({{ $fromAI(\"holderCount\") || 1 }} + {{ $fromAI(\"dependentsCount\") || 0 }}) BETWEEN p.minLifeAmount AND p.maxLifeAmount AND\n (CASE\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 0 AND 18 THEN priceAtAge0To18\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 19 AND 23 THEN priceAtAge19To23\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 24 AND 28 THEN priceAtAge24To28\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 29 AND 33 THEN priceAtAge29To33\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 34 AND 38 THEN priceAtAge34To38\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 39 AND 43 THEN priceAtAge39To43\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 44 AND 48 THEN priceAtAge44To48\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 49 AND 53 THEN priceAtAge49To53\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 54 AND 58 THEN priceAtAge54To58\n ELSE priceAtAge59To199\n END) IS NOT NULL\nORDER BY \n (CASE\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 0 AND 18 THEN priceAtAge0To18\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 19 AND 23 THEN priceAtAge19To23\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 24 AND 28 THEN priceAtAge24To28\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 29 AND 33 THEN priceAtAge29To33\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 34 AND 38 THEN priceAtAge34To38\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 39 AND 43 THEN priceAtAge39To43\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 44 AND 48 THEN priceAtAge44To48\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 49 AND 53 THEN priceAtAge49To53\n WHEN {{ $fromAI(\"holderAge\") }} BETWEEN 54 AND 58 THEN priceAtAge54To58\n ELSE priceAtAge59To199\n END) ASC, \n createdAt DESC\nLIMIT 3;\n", "options": {"detailedOutput": true}, "operation": "executeQuery", "descriptionType": "manual", "toolDescription": "// Search for the X product bla bla bla"}, "credentials": {"mySql": {"id": "", "name": "[Your mySql]"}}, "typeVersion": 2.4}, {"id": "0cdfd89f-eb9e-4b6c-90d1-1cf8d6ed96bb", "name": "Knowledge Base", "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "position": [1340, 600], "parameters": {"url": "https://quotation.joov.com.br/widget/info?modalidade={modalidade}&estado=SP&cidade={city}&operadora={operadora}", "toolDescription": "Here you will find the knowlegde base of my shop and bla bla bla Use this when they ask for price, whatever i want."}, "typeVersion": 1.1}, {"id": "393f792a-4eff-4b33-aac0-025fc622a4b3", "name": "External API", "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "position": [1200, 600], "parameters": {"url": "https://integracao-sed-alb-323570099.us-east-1.elb.amazonaws.com/findByNameAndBirthDate", "method": "POST", "jsonBody": "={\n \"name\": \"{{json.name}}\",\n \"birthdate\": \"{{json.birthdate }}\"\n}", "sendBody": true, "specifyBody": "json", "toolDescription": "Pegue o nome completo em camel case, exemplo: Fernanda Melo, e a data de nacimento nesse formato: 1990-03-28"}, "typeVersion": 1.1}, {"id": "7ce7a5e7-6238-4479-a26f-bdcde1784188", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [1160, 414], "parameters": {"color": 5, "width": 436.73182569600795, "height": 367.7413881276459, "content": "TOOLS"}, "typeVersion": 1}, {"id": "df6737ca-c588-48fc-9761-2a5307841298", "name": "OpenAI2", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [460, 460], "parameters": {"text": "={{ $json.chatInput }}", "prompt": "define", "options": {}, "resource": "assistant", "assistantId": {"__rl": true, "mode": "list", "value": "asst_x2qfc7EuoPv7XGOL84ClEZ3L", "cachedResultName": "PINE"}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1.4}], "active": false, "pinData": {}, "settings": {"executionOrder": "v1"}, "versionId": "d1dc3988-6677-47c9-b91a-6875c7b6151d", "connections": {"If": {"main": [[{"node": "Edit Fields1", "type": "main", "index": 0}], [{"node": "OpenAI2", "type": "main", "index": 0}]]}, "OpenAI": {"main": [[{"node": "Edit Fields2", "type": "main", "index": 0}]]}, "Chat Trigger": {"main": [[{"node": "If", "type": "main", "index": 0}]]}, "Edit Fields1": {"main": [[{"node": "OpenAI", "type": "main", "index": 0}]]}, "Edit Fields2": {"main": [[{"node": "OpenAI2", "type": "main", "index": 0}]]}, "External API": {"ai_tool": [[{"node": "OpenAI2", "type": "ai_tool", "index": 0}]]}, "Knowledge Base": {"ai_tool": [[{"node": "OpenAI2", "type": "ai_tool", "index": 0}]]}, "Postgres Chat Memory": {"ai_memory": [[{"node": "OpenAI2", "type": "ai_memory", "index": 0}]]}, "Postgres Chat Memory1": {"ai_memory": [[{"node": "OpenAI", "type": "ai_memory", "index": 0}]]}, "Products in Daatabase": {"ai_tool": [[{"node": "OpenAI2", "type": "ai_tool", "index": 0}]]}}}How to Import This Workflow
- 1Copy the workflow JSON above using the Copy Workflow JSON button.
- 2Open your n8n instance and go to Workflows.
- 3Click Import from JSON and paste the copied workflow.
Don't have an n8n instance? Start your free trial at n8nautomation.cloud
Related Templates
Text to Speech (OpenAI)
Converts text into natural-sounding speech using OpenAI's Text-to-Speech API. It sends your input text to OpenAI and receives an audio file in return. This is useful for creating audio versions of articles, generating voiceovers for videos, or providing accessibility features for web content. Quickly transform written content into engaging audio.
AI-Powered Candidate Shortlisting Automation for ERPNext
Automate AI-powered candidate shortlisting for ERPNext job applications. This workflow connects ERPNext, Google Gemini, WhatsApp, and Outlook to process resumes, evaluate candidates, and communicate outcomes. Recruiters and HR departments can use this to efficiently screen applicants, automatically reject unqualified candidates, and send acceptance notifications. It significantly reduces manual review time and streamlines the hiring process.
LangChain - Example - Code Node Example
Explore a basic LangChain agent that answers questions using a custom tool. This workflow connects n8n's AI nodes and custom code nodes to OpenAI for language model interactions. It's useful for developers building custom AI assistants or researchers experimenting with agentic workflows. This saves development time by providing a ready-to-use example of a LangChain agent.