AI RAG Email Auto-Responder for Gmail Inbox

This n8n workflow powers an AI-driven email auto-responder system designed for Gmail inboxes. It leverages Retrieval-Augmented Generation (RAG) to process incoming emails: upon receiving a new message, it extracts subject and content, uses OpenAI to analyze the query, searches a Pinecone vector database for relevant internal knowledge (from docs, sheets, PDFs indexed separately), incorporates a brand brief from Google Docs or Notion, and generates a structured HTML reply via OpenAI before sending it back through Gmail and logging the interaction.

Key benefits include scaling high-quality client communication without manual effort, ensuring replies are accurate, relevant, and consistent with your brand voice. It saves hours of response time for support teams, solopreneurs, and B2B providers by automating lead nurturing and inquiry handling.

Ideal use cases: sales teams nurturing leads, customer support reducing ticket volume, service businesses maintaining professionalism at scale. Extensible for multilingual support, intent-based routing to CRM, or multi-channel integration. Requires setup of Pinecone index and brand doc for full functionality.