Automated Attachment Processing and Logging with AI

This n8n workflow automates the process of handling, analyzing, and logging email or file attachments using AI and vector databases. When an attachment is received via a webhook, the workflow splits the text into manageable chunks, generates embeddings with OpenAI, and stores these vectors in Pinecone for efficient similarity searches. It then interacts with a language model to analyze or process the data using Retrieval-Augmented Generation (RAG) techniques, providing contextual responses or insights. Results are appended to a Google Sheet for record-keeping, and any errors trigger Slack alerts for quick issue resolution. This workflow is ideal for automating document processing, data analysis, and maintaining logs in a structured, intelligent manner, saving time and improving accuracy across various business scenarios.