Intelligent WhatsApp Assistant with Multi-Media & AI Memory
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This n8n workflow creates a sophisticated WhatsApp bot that intelligently processes various message types, including text, images, audio, and video. It leverages AI memory to maintain conversational context and integrates with tools like Wikipedia for rich, informed responses, enhancing automated customer interactions.
About This Workflow
This robust n8n workflow empowers you to build a sophisticated WhatsApp AI assistant. It begins by triggering on incoming WhatsApp messages, intelligently distinguishing between text, image, audio, and video content. The workflow then securely downloads any attached media and extracts relevant information and captions. Crucially, it integrates Langchain's memory capabilities to maintain conversational context with each user, enabling personalized and continuous interactions. This setup is primed for connection with Large Language Models (LLMs) to process user queries, utilize tools like Wikipedia for information retrieval, and generate smart, context-aware responses, revolutionizing your customer engagement on WhatsApp.
Key Features
- Multi-Media Message Handling: Automatically process incoming WhatsApp messages across various formats including text, images, audio, and video.
- Secure Media Download: Safely retrieve and download attached media files directly from WhatsApp using secure API calls.
- Contextual Conversations: Utilize Langchain's Window Buffer Memory to maintain persistent, session-specific conversation history for each user.
- AI Tool Integration: Designed to seamlessly connect with LLMs and external knowledge tools like Wikipedia for intelligent query processing and rich responses.
- Automated Data Extraction: Automatically extracts message type, text, sender details, and media captions for structured data handling.
How To Use
- WhatsApp Trigger Setup: Configure the
WhatsApp Triggernode by connecting your WhatsApp Business Account (via an OAuth credential) and selectingmessagesfor updates. - Message Type Redirection: The
Redirect Message TypesSwitchnode automatically routes messages based on their detected type (text, audio, video, image). Ensure its conditions match the message types you want to handle. - Configure Media Handling: For image, audio, or video messages, ensure the
Get Media URLnodes (e.g.,Get Audio URL) andDownload Medianodes (e.g.,Download Audio) are correctly set up with your WhatsApp API credentials to retrieve and download media content. - Extract Message Data: The
Get User's Messagenode will automatically extractmessage_type,message_text,from(sender's number), andmessage_captionfor structured processing. - Enable AI Memory: Set up the
Window Buffer Memorynode with asessionKey(e.g.,whatsapp-tutorial-{{ $json.from }}) to maintain persistent conversation history for each user. - Integrate AI Tools: Connect the
Wikipedianode (and any other desired Langchain tools or an LLM node) to the workflow for intelligent responses and information retrieval based on user input and conversation history.
Apps Used
Workflow JSON
{
"id": "be31fa2e-dae9-4db4-91c5-5f29eccc40fc",
"name": "Intelligent WhatsApp Assistant with Multi-Media & AI Memory",
"nodes": 10,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: be31fa2e-dae9...
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