🔍 Build an AI-Powered Image Search Engine Using BLOBs and Oracle Database 23ai
Introduction Imagine being able to search for similar images by simply uploading a picture—just like Google Reverse Image Search, but built using Oracle Database 23ai . With the rise of AI-powered vector search and native BLOB support in Oracle, you can now build this capability directly within your database. In this post, we'll guide you through building an AI-powered image similarity search engine using: Oracle Database 23ai Python ( oml4py ) ONNX pre-trained model (EfficientNet / ResNet) Vector embeddings + native VECTOR data type Oracle APEX (optional UI) What Is Vector Search? Vector search lets you compare data like images, documents, or audio by semantic similarity using high-dimensional vectors. Instead of exact keyword matching, it compares meaning or content. We’ll convert images into vectors (embeddings) using a neural network model, then store and query those vectors using Oracle’s native VECTOR type and approximate nearest neighbor (A...