TemplatesE-commerce & PaymentsWhatsApp AI Chatbot with RAG Knowledge Base
Google DriveWhatsAppQdrantOpenAI
Workflow template

WhatsApp AI Chatbot with RAG Knowledge Base

An n8n workflow integrating WhatsApp Business API, OpenAI GPT-4o-mini, Langchain agent, Qdrant vector DB, and Google Drive to build an AI-powered chatbot for electronics stores. It uses a Retrieval-Augmented Generation (RAG) system to provide accurate product info & support via WhatsApp.

E-commerce & Payments Starts with: Customer message Advanced 22 nodes Uses AI Pro

Apps in this workflow

Google DriveGoogle DriveWhatsAppWhatsAppQdrantQdrantOpenAIOpenAI

How it works

  1. Manual Trigger1
  2. Webhook2
  3. HTTP Request3
  4. Respond to Webhook4
  5. If5
  6. Google DriveGoogle Drive6
  7. AI Agent7
  8. WhatsAppWhatsApp8
  9. QdrantQdrant Vector Store9
  10. OpenAIOpenAI Chat Model10
  11. OpenAIOpenAI Embeddings11
  12. Document Loader12
  13. +33 more step types

The building blocks this workflow uses, in the order data flows through them.

What you'll need

  • An n8n instance (self-hosted or n8n Cloud).
  • A Google Drive account, connected in n8n as a credential.
  • A WhatsApp account, connected in n8n as a credential.
  • A Qdrant account, connected in n8n as a credential.
  • An API key for OpenAI in n8n: the workflow calls the model each time it runs.

Gydmation shows step-by-step credential setup for each app, so your keys go straight into n8n and never to Gydmation.

Make it yours in plain English

Open the template in Gydmation and describe the change. It edits the workflow, checks it against real n8n node schemas, and deploys it to your n8n. For example:

Also run it every morning at 8 am, not just when it is triggered.
Send me a short summary on Slack when it finishes.
Log every run as a new row in a Google Sheet.
Use Claude instead of the current AI model.

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