AI-Powered Email History Retrieval Workflow

This workflow leverages n8n to automate email data extraction, embedding, and retrieval using AI models and vector databases. It monitors Gmail for new emails, processes and cleans email content, stores email embeddings in a vector database, and enables intelligent querying through an OpenAI-backed RAG (Retrieval-Augmented Generation) agent. The setup supports use cases like email content analysis, context-aware searches, and intelligent email data management, making it ideal for teams managing large volumes of email correspondence or customer support data.