video1.0<iframe src="https://www.loom.com/embed/42d33ccb653641e0bbd7cf5823d66845" frameborder="0" width="1658" height="1243" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12431658Loomhttps://www.loom.com12431658https://cdn.loom.com/sessions/thumbnails/42d33ccb653641e0bbd7cf5823d66845-28df4bf95696103c.gif77.976I’m feeling uncertain about my job search, and I wanted to show you a better way than traditional search. In the background, we take YouTube transcripts, chunk them into 1200 plus searchable segments, and store them in a vector database. When you type something like I feel overwhelmed and click Find episodes, the query is embedded and we run a hybrid search to return 2 to 3 minute clips with exact timestamps. If you click a result, you go to the YouTube video. You can also adjust semantic weights and the number of chunks to retrieve, and give feedback.