Automated Invoice Email Parsing and Data Logging Workflow

This n8n workflow automates the process of parsing invoice emails, extracting relevant data, and systematically storing it for easy access and analysis. It begins with a webhook trigger, which activates when an invoice email is received. The email content is split into manageable parts using a text splitter, enabling detailed analysis. These parts are then embedded using AI models to convert text into vector representations, which are stored in a Weaviate vector database for efficient similarity searches.

The workflow utilizes LangChain nodes for advanced AI processing, including generating embeddings, performing vector searches, and managing contextual data with a memory buffer. A language model (from Anthropic) collaborates with a Retrieval-Augmented Generation (RAG) agent, which handles data interpretation and generates responses or actions based on invoice data.

Results are logged into a Google Sheet for record-keeping, and any errors encountered during the process trigger alerts via Slack. Overall, this workflow streamlines invoice processing, ensuring data is accurately extracted, stored, and any issues are promptly flagged—ideal for businesses handling large volumes of invoices and needing efficient data management.