Conversational WhatsApp assistant with Gemini AI and Pinecone memory

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Important notice

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

1. Workflow Overview

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 k...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, n8n-nodes-base.webhook, n8n-nodes-wamm.wammpro, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.embeddingsopenai, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.vectorstorepinecone, @n8n/n8n-nodes-langchain.documentdefaultdataloader

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Adrian.

Original n8n.io source

1.1 Workflow description

Title: Conversational WhatsApp assistant with Gemini AI and Pinecone memory
Workflow name: Conversational WhatsApp assistant with Gemini AI and Pinecone memory

📋 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

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

Step 2: Webhook Configuration

In WAMM.pro: Integrations → Webhooks → Messages Webhooks
Add Webhook with the n8n URL
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

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

Step 4: n8n Configuration

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:

Memory Tool - Searches previous conversations with the user
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!

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 2 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 3 - WAMM: Send Message

Type / Role: n8n-nodes-wamm.wammpro - wammpro
Config choices: Version 1

Block 4 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 5 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 6 - Processing data for Pinecone

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Reading from Pinecone (from knowledge)

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.2

Block 8 - Reading from Pinecone (at phone number)

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.2

Block 9 - Pinecone Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.2

Block 10 - Default Data Loader1

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1

Block 11 - Recursive Character Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 12 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Conversational WhatsApp assistant with Gemini AI and Pinecone memory
Complexity	advanced
Nodes	15
Categories	Support Chatbot, AI Chatbot
Author	Adrian
Published	19 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6170/6170.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Conversational WhatsApp assistant with Gemini AI and Pinecone memory do?

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 k...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Adrian

2 workflows

Nodes

@n8n/n8n-nodes-langchain.agent n8n-nodes-base.webhook n8n-nodes-wamm.wammpro @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.embeddingsopenai n8n-nodes-base.code @n8n/n8n-nodes-langchain.vectorstorepinecone @n8n/n8n-nodes-langchain.documentdefaultdataloader

Complexity

advanced

Published 19 Jul 2025

Likes 0

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Install path: /data/workflows/6170/6170.json

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Conversational WhatsApp assistant with Gemini AI and Pinecone memory

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

📋 Description

🛠️ Requirements

1. WAMM.pro Account (FREE tier available)

2. Pinecone Account (for AI memory)

3. Google AI Account (for Gemini)

4. OpenAI Account (for embeddings)

🚀 Step-by-step Setup

Step 1: WAMM.pro Configuration

Step 2: Webhook Configuration

Step 3: Pinecone Configuration

Step 4: n8n Configuration

🔧 How it Works

Workflow Flow:

Available AI Tools:

Special Features:

📊 Benefits

🎯 Use Cases

🔒 Security

📈 Possible Extensions

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - Webhook

Block 3 - WAMM: Send Message

Block 4 - Google Gemini Chat Model

Block 5 - Embeddings OpenAI

Block 6 - Processing data for Pinecone

Block 7 - Reading from Pinecone (from knowledge)

Block 8 - Reading from Pinecone (at phone number)

Block 9 - Pinecone Vector Store

Block 10 - Default Data Loader1

Block 11 - Recursive Character Text Splitter

Block 12 - Sticky Note

Block 13 - Sticky Note1

Block 14 - Sticky Note2

Block 15 - Sticky Note3

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions