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Reverse Image Search/Similarity App (Milvus and K8s) - Full AI Tutorial

Dive into the fascinating world of image-based AI and machine learning with our latest YouTube tutorial on building an Image Similarity Search System using Milvus, a powerful open-source vector database. This video guides you through creating vector embeddings for images using Python and TensorFlow, and then showcases how those embeddings can be stored in Milvus for advanced search, recommendation, and similarity functions. Discover how to set up Milvus on a Kubernetes cluster and navigate the intricacies of Helm-based installation. Explore the integration of machine learning models with the Keras API and PyMilvus for dynamic image processing and similarity searches. Whether you're developing locally or aiming for a production-level web application (e.g., with Flask), this tutorial offers step-by-step instructions, from handling Docker deployments to Kubernetes cluster management. Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off) Demonstration Code and Diagram: https://github.com/nodematiclabs/imag... If you are a cloud, DevOps, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel. 0:00 Conceptual Overview 0:43 Milvus on Kubernetes (Helm) 4:16 Data Loading (Python) 12:07 Image Embeddings Vector Search (Python) 15:10 Web Application (Flask) 20:20 Deployment (Docker Kubernetes)