Intelligent WhatsApp Bot with Multimedia and AI
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This n8n workflow creates an advanced WhatsApp chatbot capable of understanding and responding to various message types, including text, audio, video, and images. It leverages AI for intelligent conversation, maintains context, and integrates external knowledge bases for comprehensive answers.
About This Workflow
Revolutionize your WhatsApp communication with this powerful n8n workflow. Designed for versatility, it automatically triggers upon receiving any WhatsApp message, intelligently identifies the message type—be it text, audio, video, or image—and processes it accordingly. Beyond simple replies, this bot is equipped with LangChain's memory capabilities to maintain conversational context with each user, enabling more natural and personalized interactions. It can download incoming media and integrate tools like Wikipedia to fetch information, making it an ideal solution for dynamic customer support, information dissemination, or engaging marketing campaigns directly within WhatsApp.
Key Features
- Multi-Modal WhatsApp Input: Automatically detects and processes text, audio, video, and image messages.
- Automated Media Handling: Downloads incoming audio, video, and image files for further processing or storage.
- Conversational Memory: Utilizes LangChain's Window Buffer Memory to retain chat history and provide context-aware responses.
- Intelligent Information Retrieval: Integrates with external tools like Wikipedia to answer queries accurately and comprehensively.
- Personalized User Interaction: Maintains individual conversation threads for a tailored user experience.
How To Use
- Set up WhatsApp Trigger: Connect your WhatsApp Business Account using the
WhatsApp Triggernode. Ensure it's configured to listen for "messages". - Handle Message Types: The
Redirect Message Types(Switch) node routes incoming messages based on their type (text, audio, video, image). You'll need to extend the workflow for text message processing if not already present. - Configure Media Downloads: For audio, video, and image messages, the respective
WhatsAppnodes (Get Audio URL,Get Video URL,Get Image URL) retrieve the media URL, followed byHTTP Requestnodes (Download Audio,Download Video,Download Image) to download the actual files. Ensure your WhatsApp API credentials are set up for these nodes. - Extract Message Data: The
Get User's Message(Set) node extracts crucial details like sender, message text, type, and media captions, which are vital for AI processing. - Integrate Conversational Memory: The
Window Buffer Memorynode (LangChain) manages chat history. Configure itssessionKeyto uniquely identify each user (e.g.,whatsapp-tutorial-{{ $json.from }}) to maintain individual conversation contexts. - Add AI Tools: The
Wikipedia(LangChain) node is an example of an integrated tool. You'll likely connect this to a LangChain Agent or Chat node (not fully visible in this snippet) that orchestrates tool use and generates responses. - (Implied) Connect an LLM and Responder: Link the processed message and memory to an LLM node (e.g., ChatGPT) and then send its response back via a
WhatsAppnode to complete the bot's functionality.
Apps Used
Workflow JSON
{
"id": "99990f8e-83c2-4a44-8b06-65cd9dc74293",
"name": "Intelligent WhatsApp Bot with Multimedia and AI",
"nodes": 12,
"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: 99990f8e-83c2...
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