n8n Langchain AI Agent with Web Search Capabilities
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Build an interactive AI agent in n8n using Langchain, capable of responding to chat messages, remembering conversations with Window Buffer Memory, and performing web searches via SerpAPI.
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About This Workflow
Overview
This n8n workflow leverages the power of Langchain to create a sophisticated AI agent. The workflow starts with a 'When chat message received' trigger, which feeds into an 'AI Agent' node. This agent is configured with an 'OpenAI Chat Model' for natural language processing, 'Window Buffer Memory' to maintain conversational context, and the 'SerpAPI' tool for performing real-time web searches. This setup allows the AI agent to understand user queries, remember past interactions, and access external information to provide more comprehensive answers.
Key Features
- AI-powered conversational agent
- Maintains conversation history with memory nodes
- Integrates with OpenAI for advanced language understanding
- Enables real-time web search using SerpAPI
How To Use
- Set up the 'When chat message received' trigger with your desired webhook.
- Configure the 'OpenAI Chat Model' node with your OpenAI API key and preferred model (e.g., gpt-4o-mini).
- Set up the 'Window Buffer Memory' node to define how much conversation history to retain.
- Configure the 'SerpAPI' node with your SerpAPI API key to enable web search capabilities.
- Connect all nodes to the 'AI Agent' node, ensuring the correct connections for language model, memory, and tools.
- Trigger the workflow by sending a chat message to the configured webhook.
Apps Used
Workflow JSON
{
"id": "fb390fb9-d13f-4586-a01b-ef7857c76f28",
"name": "n8n Langchain AI Agent with Web Search Capabilities",
"nodes": 0,
"category": "AI and LLMs",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: fb390fb9-d13f...
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