Build a multimodal WhatsApp assistant with GPT-5, Gemini, and Wikipedia
Ready for 3.0What this workflow does
This AI workflow has 23 nodes and runs on WhatsApp events (messages). Along the way it connects WhatsApp Business Cloud, OpenAI, OpenAI Chat Model and Wikipedia.
How it runs
Trigger: On WhatsApp events (messages).
- Split Out: splits a list into separate items
- Configuration (Edit Fields (Set)): sets 7 fields: sender_phone, message_type, openai_chat_model…
- Route by message type (Switch): routes items into 3 branches
- Get audio URL (WhatsApp Business Cloud): media url get
- Get video URL (WhatsApp Business Cloud): media url get
- Get image URL (WhatsApp Business Cloud): media url get
- Get text message (Edit Fields (Set)): sets 1 field: text
- Download audio (HTTP Request): calls an HTTP API
- Download video (HTTP Request): calls an HTTP API
- Download image (HTTP Request): calls an HTTP API
…plus 8 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- WhatsApp Trigger
n8n-nodes-base.whatsAppTrigger - Split Out
n8n-nodes-base.splitOut - Edit Fields (Set)
n8n-nodes-base.set - Switch
n8n-nodes-base.switch - WhatsApp Business Cloud
n8n-nodes-base.whatsApp - HTTP Request
n8n-nodes-base.httpRequest - OpenAI
@n8n/n8n-nodes-langchain.openAi - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Wikipedia
@n8n/n8n-nodes-langchain.toolWikipedia
From the author
Quick overview This workflow turns a WhatsApp Business number into a multimodal assistant by handling text, voice notes, images, and videos, using OpenAI (GPT-5 for chat/vision and audio transcription) plus Google Gemini for video understanding, and replying…