Explore the open-source machine learning tool Jina AI for neural search in this comprehensive video tutorial. Dive into a high-level overview of Jina AI before setting up the MNIST fashion example. Learn about arguments, data loading, and core concepts like Flow and Executors. Visualize the flow, understand its lazy nature, and grasp the core algorithm. Delve into indexing, encoding images via SVD, and evaluating results by finding closest embeddings. See how to write results to HTML and visualize them. Conclude with a brief overview of a chatbot example, gaining practical insights into implementing neural search with this powerful ML tool.