Neural Search with Jina AI - Open-Source ML Tool Explained

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.

A high-level overview of Jina AI
Setting up the MNIST fashion example
Arguments and data loading
Core concepts - Flow and Executors
Visualizing the flow
Flow is lazy
The core algorithm explained
Indexing
Encoding the images via SVD
Evaluation - finding closest embeddings
Writing to an HTML
HTML results visualized
Chatbot example overview
Outro