Respond to WhatsApp messages with AI like a pro!

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Important notice

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

1. Workflow Overview

This n8n template demonstrates the beginnings of building your own n8n powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI a...

Best for

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

Tools used

n8n-nodes-base.whatsapptrigger, n8n-nodes-base.whatsapp, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.set, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.toolwikipedia, n8n-nodes-base.switch

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Respond to WhatsApp messages with AI like a pro!
Workflow name: Respond to WhatsApp messages with AI like a pro!

This n8n template demonstrates the beginnings of building your own n8n-powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI agent to respond to the user. A powerful tool for any use-case!

How it works

Incoming WhatsApp Trigger provides a way to get messages into the workflow.
The message received is extracted and sent through 1 of 4 branches for processing.
Each processing branch uses AI to analyse, summarize or transcribe the message so that the AI agent can understand it. The supported types are text, image, audio (voice notes) and video.
The AI Agent is used to generate a response generally and uses a wikipedia tool for more complex queries.
Finally, the response message is sent back to the WhatsApp user using the WhatsApp node.

How to use

Once you have setup and configured your WhatsApp account, you'll need to activate your workflow to start processing messages.

Good to know: Large media files may negatively impact workflow performance.

Requirements

WhatsApp Buisness account
Google Gemini for LLM. Gemini is used specifically because it can accept audio and video files whereas at time of writing, many other providers like OpenAI's GPT, do not.

Customising this workflow

For performance reasons, consider detecting large audio and video before sending to the LLM. Pre-processing such files may allow your agent to perform better.
Go beyond and create rich and engagement customer experiences by responding using images, audio and video instead of just text!

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 - WhatsApp Trigger

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

Block 2 - Get Audio URL

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

Block 3 - Get Video URL

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

Block 4 - Get Image URL

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

Block 5 - Download Video

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 6 - Download Audio

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - Download Image

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 8 - Window Buffer Memory

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

Block 9 - Get User's Message

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Split Out Message Parts

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

Block 11 - Wikipedia

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

Block 12 - Redirect Message Types

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 13 - Sticky Note

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

Block 14 - Sticky Note1

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

Block 15 - Sticky Note2

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

Block 16 - Sticky Note3

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

Block 17 - Sticky Note4

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

Block 18 - Get Text

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 19 - Sticky Note5

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

Block 20 - Sticky Note6

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

Block 21 - Respond to User

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

Block 22 - Sticky Note7

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

Block 23 - Sticky Note8

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

Block 24 - Image Explainer

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.4

Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Respond to WhatsApp messages with AI like a pro!
Complexity	advanced
Nodes	35
Categories	Support Chatbot, AI Chatbot
Author	Jimleuk
Published	17 Oct 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2466/2466.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 Respond to WhatsApp messages with AI like a pro! do?

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.

Jimleuk

100 workflows

Nodes

n8n-nodes-base.whatsapptrigger n8n-nodes-base.whatsapp n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.set n8n-nodes-base.splitout @n8n/n8n-nodes-langchain.toolwikipedia n8n-nodes-base.switch

Complexity

advanced

Published 17 Oct 2024

Likes 0

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Install path: /data/workflows/2466/2466.json

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Respond to WhatsApp messages with AI like a pro!

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to use

Requirements

Customising this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - WhatsApp Trigger

Block 2 - Get Audio URL

Block 3 - Get Video URL

Block 4 - Get Image URL

Block 5 - Download Video

Block 6 - Download Audio

Block 7 - Download Image

Block 8 - Window Buffer Memory

Block 9 - Get User's Message

Block 10 - Split Out Message Parts

Block 11 - Wikipedia

Block 12 - Redirect Message Types

Block 13 - Sticky Note

Block 14 - Sticky Note1

Block 15 - Sticky Note2

Block 16 - Sticky Note3

Block 17 - Sticky Note4

Block 18 - Get Text

Block 19 - Sticky Note5

Block 20 - Sticky Note6

Block 21 - Respond to User

Block 22 - Sticky Note7

Block 23 - Sticky Note8

Block 24 - Image Explainer

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