Automate AI-Driven WhatsApp Support with Document Ingestion and RAG
Streamline your support process by automating the ingestion of product documentation and enabling AI-powered, retrieval-augmented question answering via WhatsApp.
This workflow is designed for internal support teams and product specialists in technology companies. It automates the process of importing, chunking, and indexing product manuals from Google Docs into a MongoDB Atlas vector store. This setup allows for fast semantic search and AI-driven responses to user queries received via WhatsApp. The workflow supports various message types, including text, audio, images, and documents, ensuring accurate and context-aware answers using OpenAI's GPT-4o-mini model.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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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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