💬 Conversational WhatsApp assistant with Gemini AI and Pinecone memory

⚡ 1,694 views · 💬 Support Chatbots

Description

📋 Description

This template creates an intelligent AI assistant for WhatsApp that can:

• Respond naturally to messages using Google Gemini AI
• Remember previous conversations for each user
• Access a knowledge base for answering frequently asked questions
• Automatically save all conversations for long-term memory

🛠️ Requirements

1. WAMM.pro Account (FREE tier available)

• What is WAMM.pro? - A platform that enables WhatsApp automation using proprietary API technology
• Free tier: 50 messages/month
• PRO tier: Unlimited messages + advanced features
• Link: wamm.pro

2. Pinecone Account (for AI memory)

• For storing conversations and knowledge base
• Free tier available

3. Google AI Account (for Gemini)

• For the conversational AI model

4. OpenAI Account (for embeddings)

• For generating memory vectors

🚀 Step-by-step Setup

Step 1: WAMM.pro Configuration

1. Create account at wamm.pro
2. Account Manager → Add WhatsApp profile
3. Scan QR code with your WhatsApp
4. Note down: Instance ID and Access Token

Step 2: Webhook Configuration

1. In WAMM.pro: Integrations → Webhooks → Messages Webhooks
2. Add Webhook with the n8n URL
3. Required configuration:
   • From others: ✅ Relevant + ✅ Without media + ✅ Exclude no text
   • To others: ✅ Relevant + ✅ Without media + ✅ Exclude no text
   • To myself: ✅ None (to avoid responding to own messages)

Step 3: Pinecone Configuration

1. Create 2 indexes:
   • historywa - for conversation memory
   • knowledge - for knowledge base
2. Index settings:
   • Dimensions: 3072
   • Metric: cosine
   • Embedding model: text-embedding-3-large

Step 4: n8n Configuration

1. Configure credentials:
   • WAMM: Instance ID + Access Token
   • Pinecone: API Key
   • Google Gemini: API Key
   • OpenAI: API Key for embeddings

🔧 How it Works

Workflow Flow:

📱 WhatsApp Message 
    ↓ (webhook)
🎯 AI Agent (Gemini)
    ↓ (uses tools)
📚 Memory Tool + Knowledge Tool
    ↓ (response generated)
📤 WAMM Send Message
    ↓ (saves)
💾 Pinecone Memory Storage

Available AI Tools:

1. Memory Tool - Searches previous conversations with the user
2. Knowledge Tool - Searches the general knowledge base

Special Features:

• Natural conversations - AI doesn’t mention “searching history”
• Persistent context - Remembers names, preferences, previous conversations
• User language detection - Automatically responds in user’s language
• Organized memory - Each user has their own memory space

📊 Benefits

✅ Zero maintenance - Runs automatically
✅ Scalable - Supports multiple users simultaneously
✅ Intelligent memory - Uses similarity search for relevant context
✅ Extensible - Easy to add new features
✅ Cost-effective - Free tiers available for all services

🎯 Use Cases

• Automated customer support with memory
• Personal assistant for WhatsApp
• Business chatbot with specific knowledge
• Conversation automation with persistent context

🔒 Security

• Data stored in Pinecone as vector embeddings
• No plain text message storage
• Each user has separate memory space
• API keys secured in n8n credentials

📈 Possible Extensions

• CRM integrations
• Scheduling and reminders
• Advanced multi-language support
• Analytics and conversation reports
• Custom knowledge bases per user

💡 Tip: For optimal results, populate the knowledge base with frequently asked questions specific to your business!

🔗 Nodes Used

Webhook, AI Agent, Embeddings OpenAI, Recursive Character Text Splitter, Pinecone Vector Store, Default Data Loader

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup