How to Build an AI-Powered Video Search App
Technology and culture have advanced and become ever more entangled. Some of the most significant technological breakthroughs are integrated so tightly into our culture that we never even notice they’re there.

One of those is AI-powered search. It powers your Google results, Netflix recommendations, and ads you see everywhere. It is being rapidly weaved throughout all aspects of our lives. Further, this is a new technology; its full potential is unknown.

This technology weaves directly into the cultural phenomenon of YouTube. Imagine a search engine like Google that allows you to rapidly access the billions of hours of YouTube content. There is no comparison to that level of highly engaging video content in the world.

🌲 Pinecone article:
https://www.pinecone.io/learn/youtube-search

🔗 Code:
https://github.com/pinecone-io/examples/tree/master/learn/projects/yt-search

🤖 70% Discount on the NLP With Transformers in Python course:
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00:00 Intro
02:56 YouTube Search App
04:43 Getting Data
07:58 Enhancing the Data
12:45 Scraping Other Metadata
14:52 Loading Data from Hugging Face
15:42 Index and Query the Data
20:43 Streamlit App Code