WhatsApp AI Chatbot with Wikipedia Knowledge
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Transform your WhatsApp interactions into a powerful AI-driven experience. This n8n workflow processes diverse WhatsApp messages, including media, and leverages Langchain to provide intelligent responses, backed by real-time Wikipedia knowledge for every user.
About This Workflow
This n8n workflow empowers you to build an advanced WhatsApp AI assistant. It initiates by capturing incoming messages, intelligently differentiating between text, audio, video, and image content. The workflow then dynamically retrieves and downloads any attached media, while simultaneously extracting critical message details such as sender and message type. Crucially, it integrates Langchain's memory buffer to maintain conversational context for each individual user, ensuring personalized interactions. Furthermore, by connecting to a Wikipedia tool, your AI assistant gains the ability to answer a vast array of queries, delivering real-time, accurate information directly within WhatsApp. This setup is ideal for enhancing customer support, automating information dissemination, or creating an interactive personal assistant.
Key Features
- Seamless WhatsApp Message Trigger: Automatically listens for and processes all incoming WhatsApp messages.
- Multi-Media Handling: Supports processing and downloading of audio, video, and image attachments sent by users.
- Contextual AI Conversations: Utilizes Langchain's Window Buffer Memory to maintain per-user chat history for intelligent, personalized responses.
- Wikipedia Integration: Instantly retrieves information from Wikipedia to answer user queries with rich, factual content.
- Dynamic Message Parsing: Accurately identifies message types and extracts relevant data like sender and media captions.
How To Use
- Configure WhatsApp Trigger: Set up your WhatsApp Business Platform API credentials for the
WhatsApp Triggernode to receive messages from your desired number. - WhatsApp API Credentials: Ensure your
WhatsAppnodes (Get Audio URL,Get Video URL,Get Image URL) andHTTP Requestnodes (Download Video,Download Audio,Download Image) use the correct WhatsApp API credentials for media access. - Langchain Memory Setup: The
Window Buffer Memorynode is pre-configured with a session key based on the sender's number, ensuring unique conversation context per user. No further configuration is typically needed unless you want to customize the session key. - Langchain Wikipedia Tool: The
Wikipedianode is ready to use for information retrieval. Ensure your n8n instance has internet access to reach the Wikipedia API. - Adapt Message Processing: Modify the
Get User's Messagenode and subsequent logic to further process or respond to the extracted message content as needed, potentially integrating other AI models or actions.
Apps Used
Workflow JSON
{
"id": "615cdcb3-0da0-4be2-a40a-a4858aa951fa",
"name": "WhatsApp AI Chatbot with Wikipedia Knowledge",
"nodes": 17,
"category": "Operations",
"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: 615cdcb3-0da0...
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