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Conversational WhatsApp assistant with Gemini AI and Pinecone memory

Workflow preview

Conversational WhatsApp assistant with Gemini AI and Pinecone memory preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

πŸ“‹ 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

πŸ› οΈ 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

πŸš€ Step-by-step Setup

Step 1: WAMM.pro Configuration

  1. Create account at wamm.pro
  2. Account Manager β†’ 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 β†’ Webhooks β†’ Messages Webhooks
  2. Add Webhook with the n8n URL
  3. Required configuration:
    • From others: βœ… Relevant + βœ… Without media + βœ… Exclude no text
    • To others: βœ… Relevant + βœ… Without media + βœ… Exclude no text
    • To myself: βœ… 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

πŸ”§ How it Works

Workflow Flow:

πŸ“± WhatsApp Message 
    ↓ (webhook)
🎯 AI Agent (Gemini)
    ↓ (uses tools)
πŸ“š Memory Tool + Knowledge Tool
    ↓ (response generated)
πŸ“€ WAMM Send Message
    ↓ (saves)
πŸ’Ύ 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

πŸ“Š Benefits

βœ… Zero maintenance - Runs automatically
βœ… Scalable - Supports multiple users simultaneously
βœ… Intelligent memory - Uses similarity search for relevant context
βœ… Extensible - Easy to add new features
βœ… 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

πŸ”’ 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

πŸ“ˆ Possible Extensions

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

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