EV Charging Station Locator Workflow

This n8n workflow automates the process of locating electric vehicle (EV) charging stations by integrating webhooks, natural language processing, and vector-based search. The goal is to enable users to query for EV charging stations and receive intelligent, context-aware responses. The workflow begins with a webhook trigger, which captures user input. This input is then split into manageable text chunks using a character-based splitter. Each chunk is transformed into text embeddings via Hugging Face’s embedding model, and these embeddings are stored in a Supabase vector database for efficient retrieval. When a user makes a new query, the system retrieves relevant information from the vector store, processes it with a language model to generate a meaningful response, and logs the interaction in Google Sheets for record-keeping. The integrated use of AI services allows for real-time, intelligent assistance in locating nearby EV charging stations, making this workflow ideal for EV apps, customer support bots, or mapping services that need to provide quick, accurate charging station information.