Build a Conversational AI Agent with LangChain, Tools, and Memory in n8n
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This workflow demonstrates how to create an intelligent AI agent using LangChain in n8n. It leverages an OpenAI model, buffer memory for conversation history, and external tools like Wikipedia and SerpAPI for enhanced responses. The 'On new manual Chat Message' node initiates the agent's interaction.
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About This Workflow
Overview
This n8n workflow showcases the power of LangChain's agent capabilities for building sophisticated conversational AI. It addresses the challenge of creating an AI that can not only respond to user queries but also access external information and maintain context throughout a conversation. The workflow utilizes a manualChatTrigger to initiate interactions, an AI Agent node to process prompts and decide on actions, an lmChatOpenAi node for the core LLM processing, and a memoryBufferWindow to store recent conversation history. Crucially, it integrates external tools such as toolWikipedia and toolSerpApi via the AI Agent node, allowing the agent to fetch real-time data and provide more comprehensive answers. The Sticky Note nodes serve as helpful annotations, explaining the role of each component.
Key Features
- Conversational AI Agent: Builds a sophisticated AI agent capable of understanding and responding to user inputs.
- LangChain Integration: Leverages the power of LangChain for building complex LLM applications.
- Tool Usage: Integrates external tools like Wikipedia and SerpAPI for real-time data retrieval.
- Buffer Memory: Maintains conversation context by storing the last 20 messages using a window buffer memory.
- Manual Chat Trigger: Initiates conversations through a manual input.
- Configurable OpenAI Model: Allows selection of OpenAI models and adjustment of parameters like temperature.
How To Use
- Set up OpenAI Credentials: Ensure you have your OpenAI API key configured in n8n.
- Configure Nodes: Update the
Chat OpenAInode with your preferred OpenAI model (e.g.,gpt-4o-mini). - Configure Tools: If using
SerpAPI, ensure your API key is set up in n8n credentials. - Initiate Conversation: Use the
On new manual Chat Messagenode to input your first prompt. - Observe Agent's Response: The
AI Agentnode will process your input, utilize tools if necessary, and provide a response based on the OpenAI model and conversation history.
Apps Used
Workflow JSON
{
"id": "7ba4fea7-ad9c-4759-862c-63f3c9eb2079",
"name": "Build a Conversational AI Agent with LangChain, Tools, and Memory in n8n",
"nodes": 0,
"category": "AI & Machine Learning",
"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: 7ba4fea7-ad9c...
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