This n8n workflow enables an AI-powered chatbot to perform web searches dynamically based on user messages. When a chat message is received via a webhook, the workflow triggers an AI agent that uses SearchAPI to fetch relevant web information, combined with OpenAI’s GPT-4 model for processing and conversation management. The workflow also maintains context and memory for coherent multi-turn interactions. This setup is ideal for creating intelligent chatbots that provide real-time search responses, useful in customer support, knowledge bases, or interactive assistant scenarios.
The process begins with an incoming chat message trigger, which activates the AI agent node. The AI agent uses a language model to understand and process user input. If a web search is needed, it calls SearchAPI with a user-defined query. The results are stored in a memory buffer for contextual continuity and used in subsequent interactions. Throughout the workflow, sticky notes provide operational tips and configuration guidance. Overall, this integration enables a smart, context-aware chatbot capable of dynamic web searches and nuanced conversations.
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