AI chatbot that can search the web
Build an intelligent AI chatbot that can dynamically search the web to answer user queries with this powerful n8n workflow. This template connects an On new manual Chat Message trigger to an AI Agent, enabling your bot to leverage the advanced capabilities of OpenAI for natural language understanding and generation. When a user sends a chat message, the AI Agent orchestrates the use of a Wikipedia tool for general knowledge lookups and a SerpAPI tool for real-time web searches, ensuring your chatbot provides accurate and up-to-date information. A Window Buffer Memory node maintains conversational context, allowing for more natural and coherent interactions. This workflow is ideal for customer support teams needing to quickly provide information, researchers looking for an automated assistant, or developers building interactive knowledge bases, significantly reducing the manual effort required to answer diverse questions and providing instant access to a vast amount of information.
Workflow JSON
{"meta": {"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"}, "nodes": [{"id": "3a3bcb2d-cb94-40d8-8b9e-322ea9d27f6e", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [1000, 640], "parameters": {"width": 300, "height": 185, "content": "### The conversation history(last 20 messages) is stored in a buffer memory"}, "typeVersion": 1}, {"id": "e279af43-b003-4499-b221-58716e735379", "name": "On new manual Chat Message", "type": "@n8n/n8n-nodes-langchain.manualChatTrigger", "position": [740, 340], "parameters": {}, "typeVersion": 1}, {"id": "f4f8bf03-a43e-4a1f-a592-cd0f8408f552", "name": "Chat OpenAI", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [840, 653], "parameters": {"model": "gpt-4o-mini", "options": {"temperature": 0.3}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1}, {"id": "66b60f68-bae8-4958-ac81-03883f563ab3", "name": "Wikipedia", "type": "@n8n/n8n-nodes-langchain.toolWikipedia", "position": [1480, 693], "parameters": {}, "typeVersion": 1}, {"id": "70f6b43b-9290-4fbc-992f-0895d4578c9f", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [1340, 633], "parameters": {"width": 300, "height": 185, "content": "### Tools which agent can use to accomplish the task"}, "typeVersion": 1}, {"id": "8696269f-6556-41f1-bbe4-5597e4e46e02", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [960, 260], "parameters": {"width": 422, "height": 211, "content": "### Conversational agent will utilise available tools to answer the prompt. "}, "typeVersion": 1}, {"id": "6814967b-4567-4cdd-bf09-6b1b5ed0c68e", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [1100, 700], "parameters": {"contextWindowLength": 20}, "typeVersion": 1}, {"id": "ce4358ac-c2cc-45ba-b950-247f8360b36c", "name": "SerpAPI", "type": "@n8n/n8n-nodes-langchain.toolSerpApi", "position": [1380, 693], "parameters": {"options": {}}, "typeVersion": 1}, {"id": "de80add8-c37d-4d46-80ec-b43234e21150", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [1040, 340], "parameters": {"text": "={{ $json.input }}", "options": {}, "promptType": "define"}, "typeVersion": 1.6}], "pinData": {}, "connections": {"SerpAPI": {"ai_tool": [[{"node": "AI Agent", "type": "ai_tool", "index": 0}]]}, "Wikipedia": {"ai_tool": [[{"node": "AI Agent", "type": "ai_tool", "index": 0}]]}, "Chat OpenAI": {"ai_languageModel": [[{"node": "AI Agent", "type": "ai_languageModel", "index": 0}]]}, "Window Buffer Memory": {"ai_memory": [[{"node": "AI Agent", "type": "ai_memory", "index": 0}]]}, "On new manual Chat Message": {"main": [[{"node": "AI Agent", "type": "main", "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.
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