AI Chatbot with Web Search & Wikipedia Tools
Intelligent AI chatbot using GPT-4o, SerpAPI for web search, and Wikipedia integration with conversation memory for contextual responses.
This n8n workflow powers a dynamic AI chatbot capable of natural conversations enhanced by real-time web searches and Wikipedia lookups. Triggered by chat messages via a dedicated chat trigger node, it leverages OpenAI's GPT-4o model within a conversational agent framework. The agent intelligently decides when to use tools like SerpAPI for current web data or Wikipedia for factual knowledge, ensuring accurate and enriched responses.
A Window Buffer Memory node maintains the last 20 interactions, providing seamless context continuity for ongoing dialogues. This setup is ideal for customer support, research assistants, or procurement bots in commerce scenarios where up-to-date information is crucial. Benefits include reduced manual research time, improved response quality, and scalable deployment on n8n version 1.50.0+.
Use cases span e-commerce procurement (e.g., supplier price checks via web search), customer service (answering queries with verified sources), and knowledge bases (quick wiki facts in chats). It's highly customizable, with sticky notes guiding node purposes for easy onboarding and modification.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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