Build a WhatsApp AI Chatbot with Supabase, OpenAI, and Gemini 2.5 Flash
Create a WhatsApp-based AI chatbot using document retrieval with Supabase, OpenAI embeddings for semantic search, and Gemini 2.5 Flash for generating responses.
This workflow allows you to transform WhatsApp into a powerful AI-driven knowledge assistant. By leveraging document retrieval (RAG) techniques, the chatbot can handle FAQs, customer support inquiries, or internal document queries. The integration of Supabase for storage, OpenAI for embedding generation, and Gemini 2.5 Flash for response generation ensures accurate and contextually relevant answers. The modular design supports scalability, allowing separate document ingestion and query handling
- Platform
- n8n
- Category
- AI
- Price
- $14.99
- Creator
- Isaac Cohen
- switch
- stickyNote
- httpRequest
- agent
- whatsAppTrigger
- embeddingsOpenAi
- lmChatGoogleGemini
- vectorStoreSupabase
- documentDefaultDataLoader
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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