Smart Email Assistant: AI Customer Support with Supabase Vector DB
Automates customer support by monitoring Gmail, classifying emails with AI, retrieving knowledge from Supabase vector DB, and generating responses. Includes document management from Google Drive for dynamic knowledge base updates.
This n8n workflow creates an intelligent email support system using AI and vector database technology. It monitors Gmail inboxes for new emails, classifies them with AI to identify support inquiries, performs vector similarity searches in Supabase for relevant knowledge, and generates personalized responses via OpenAI and LangChain. Drafts are automatically created in Gmail, streamlining support without manual intervention.
A parallel document management system watches Google Drive folders for new or updated files, downloads them, extracts text, chunks it intelligently, generates embeddings with OpenAI, and stores them in Supabase vector database. This ensures the knowledge base stays current, enabling context-aware responses to customer queries.
Benefits include massive time savings for support teams, 24/7 automated responses, scalable handling of inquiries, and improved accuracy through semantic search. Ideal use cases: customer support for SaaS products, e-commerce helpdesks, IT service desks, or any business relying on email support with extensive documentation.
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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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