Combine AI Models for Image Search using ONNX and Milvus

Open Neural Network Exchange (ONNX) is an open format that represents machine learning models, enabling AI developers to use models with various frameworks, tools, runtimes, and compilers. Milvus is an open-source vector database designed for massive unstructured data analysis. This article introduces how to use multiple models for image search based on ONNX and Milvus, using VGG16 and ResNet50 models as examples. The process involves converting pre-trained AI models into the ONNX format, extracting feature vectors from images using these models, storing vector data in Milvus, and searching for similar images based on Euclidean distance calculations between vectors.