Automated Customer Support: Gmail, GPT-4 & Vector KB

This n8n workflow transforms customer support by monitoring Gmail for unread emails, using GPT-4 for intelligent analysis including categorization (technical, billing, etc.), priority assignment (high/medium/low), sentiment detection, and escalation triggers. It integrates a Qdrant vector knowledge base with Mistral embeddings for semantic search, enabling contextual, accurate responses based on your documentation. Thread history ensures conversation continuity, while smart filters prevent reply loops and auto-labeling organizes inboxes.

Benefits include massive time savings by handling routine queries autonomously, enforcing SLAs with due date calculations, and preserving full conversation logs in Google Sheets for analytics. Escalations notify teams via richly formatted Telegram messages with emojis and priority indicators, ensuring quick human intervention for complex issues. This reduces response times, improves customer satisfaction, and scales support without additional staff.

Ideal for e-commerce, SaaS, or service businesses with high email volume. Use cases: Automate help desks for product issues, billing disputes, or general inquiries; integrate with existing docs for self-service; track metrics to optimize support ops. Setup requires Gmail, Qdrant, OpenAI/Mistral API keys, Google Sheets, and Telegram bot.