AI-Powered Weekly Meal Recommendation Workflow

This comprehensive n8n workflow automates the process of curating and recommending weekly meals from HelloFresh using AI and vector search technology. The workflow starts with fetching this week’s menu from HelloFresh’s website, extracts dish details, and then processes the recipes into a recommendation engine powered by Qdrant’s vector similarity search. The system stores recipes in a database and vector store, enabling personalized meal recommendations based on user preferences via an AI chat interface. It employs multiple steps including web scraping, data extraction, embedding generation, and advanced AI interaction to deliver tailored meal suggestions. This workflow is ideal for developing an intelligent meal planning assistant, offering users customized weekly recipe suggestions and enhancing the meal discovery experience.