Intelligent Road Trip Stop Planner Workflow

This n8n workflow is designed to enhance road trip planning by allowing users to submit their travel preferences or stops via a webhook. Once received, the workflow processes the input through a series of steps to generate personalized suggestions and store related data. Initially, the data from the webhook is split into manageable chunks for analysis. The text chunks are transformed into embeddings using Cohere’s API, which helps in understanding the data contextually. These embeddings are then stored in a Supabase vector database, enabling efficient similarity searches. The workflow allows querying the stored data to retrieve relevant information for plan adjustments or suggestions. Additionally, it integrates a language model (via Anthropic) to provide conversational responses or generate trip recommendations based on the stored data. All interactions are logged in Google Sheets for record-keeping. This workflow is practical for travelers seeking dynamic, AI-assisted trip planning, ensuring a tailored and organized journey experience.