Automated Grant Application Routing Workflow

This n8n workflow automates the process of routing and analyzing grant applications through a series of integrated steps. It begins with a Webhook trigger that listens for new grant application submissions. The submitted data is then split into manageable chunks by a Text Splitter node, preparing it for further processing. The workflow employs OpenAI’s language model to generate embeddings for each text segment, which are stored in a Supabase vector database for efficient similarity searches.

Next, the workflow queries the database to retrieve relevant context for each application, which is then processed by a language model-based RAG (Retrieval-Augmented Generation) agent. This agent synthesizes the information, assesses the application, and determines its status. The outcome is logged into a Google Sheet, maintaining a record of all applications and their processing states.

In case of errors during processing, the workflow sends notifications to a Slack channel, ensuring prompt troubleshooting. Practical use cases include automating application screening, enhancing decision accuracy with AI, and maintaining real-time logs for grant management. This workflow streamlines grant application handling, saves time, and improves decision consistency.