VibeFit: AI Powered Wardrobe Recommendation Engine VibeFit is an AI-powered virtual wardrobe that eliminates manual clothing organization by automatically extracting structured garment information from images and enabling semantic outfit discovery through natural language. Instead of relying on manually assigned categories or filters, the platform combines multimodal language models, vector search, and agent orchestration to create a searchable digital wardrobe that understands clothing by meaning rather than keywords. The platform is built around two independent LangGraph workflows. The Ingestion Workflow converts uploaded clothing images into structured wardrobe assets, while the Retrieval Workflow generates grounded outfit recommendations exclusively from garments the user owns. This separation keeps ingestion and retrieval independent, easier to maintain, and individually extensible. Tech: Next.js 14, TypeScript, LangGraph, OpenAI, Gemini, Supabase, PostgreSQL, pgvector, LangSmith, Tailwind CSS