video1.0<iframe src="https://www.loom.com/embed/9b112343b0104392b47bd8c1c85b1826" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/9b112343b0104392b47bd8c1c85b1826-b38086d9b825f366.gif115.998Hi, I'm Ace, and in this video, I walk you through setting up VectorDBQ, a semantic search engine I built for a technical task requested by Stack.ai. You can find the project on GitHub, where I recommend checking out the documentation to get started. After signing up and configuring your environment variables, including the cohere API key, you can build and run the Docker container. I also added a simple UI for you to experiment with, allowing you to search and add chunks in real time. Please follow the steps I outlined to successfully set up the project.