Queryable leverages Apple’s MobileCLIP model to encode photos and text queries into embeddings, then ranks results by cosine similarity between text and image vectors. The app indexes the user’s photo library locally and enables semantic search with statements like ‘a brown dog sitting on a bench’ without sending data to external servers. It builds on earlier work using OpenAI’s CLIP model, now migrated to Apple’s more efficient MobileCLIP architecture.