The WAMM AI Assistant: Your Intelligent WhatsApp Companion with Pinecone Memory
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Transform your WhatsApp communication with the WAMM AI Assistant. This n8n template leverages Google Gemini and Pinecone to create an intelligent chatbot that remembers conversations, accesses knowledge bases, and responds naturally to users.
About This Workflow
Introducing the WAMM AI Assistant, a powerful n8n workflow designed to elevate your WhatsApp interactions. This intelligent agent utilizes Google Gemini for natural language understanding and generation, ensuring your messages are warm, friendly, and conversational.
But the real magic lies in its memory capabilities. Powered by Pinecone, the assistant meticulously stores and retrieves past conversation history for each individual user, allowing for context-aware responses. Furthermore, it can tap into a dedicated knowledge base to answer frequently asked questions. Every interaction is automatically logged, building a rich, long-term memory for continuous improvement and personalized engagement. This template is perfect for businesses looking to automate customer support, sales outreach, or provide a more engaging user experience on WhatsApp.
Key Features
- Natural Conversational AI: Powered by Google Gemini, delivers friendly, human-like responses.
- Persistent Memory: Leverages Pinecone to recall past conversations with individual users.
- Knowledge Base Integration: Seamlessly accesses a knowledge base for instant answers to FAQs.
- Automated Conversation Logging: Stores all interactions for future reference and analysis.
- WAMM Integration: Directly connects with WAMM for sending and receiving WhatsApp messages.
How To Use
- Set up WAMM Integration: Configure your WAMM account and ensure the "WAMM: Send Message" node is correctly authenticated.
- Configure Webhook: Set up the "Webhook" node to receive incoming messages from WhatsApp.
- Connect AI Model: Authenticate your Google Cloud account and select the desired Gemini model in the "Google Gemini Chat Model" node.
- Set up Pinecone: Ensure your Pinecone API key is set up and create two indexes: one for general knowledge (e.g., 'knowledge') and one for conversation history (e.g., 'historywa'). Configure the "Reading from Pinecone" nodes to point to these indexes.
- Configure AI Agent: Customize the "AI Agent" node's system message to define its persona and behavior.
- Process Data for Pinecone: The "Processing data for Pinecone" code node prepares conversation data for storage. Verify the
pageContentandmetadatastructure. - Embeddings and Vector Store: The "Embeddings OpenAI" node generates vector embeddings, and the "Pinecone Vector Store" node inserts this data into your 'historywa' index. Ensure your OpenAI API key is configured.
- Text Splitter: The "Recursive Character Text Splitter" node is used to chunk text before embedding, optimizing for Pinecone storage.
Apps Used
Workflow JSON
{
"id": "aea0aa3e-6e5f-43cb-9c67-b57534d9e68d",
"name": "The WAMM AI Assistant: Your Intelligent WhatsApp Companion with Pinecone Memory",
"nodes": 29,
"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.
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ID: aea0aa3e-6e5f...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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