Have you ever found yourself in the mood for a certain type of music but not any specific artists, songs, or genres in mind? Maybe you just had a long day and are looking for something with mellow and relaxing vibes. Or maybe it's a Friday afternoon, and you're ready for something to pump you up for the weekend. In times like these, traditional search experiences won't work. But today, we're going to build something that will.
In a traditional search experience, you would search for a term and get back a list of songs or artists that contain keywords from that search term somewhere in their name or description. But that's not what we want here. What we actually want is semantic search: a system that understands what you mean, not just what you typed. That's exactly what we're building. This music recommender takes a natural-language description of the music's “vibe” and finds songs that match that feel. And it's all powered by MongoDB Vector Search and Voyage AI.
In this tutorial, you’ll learn how to build a working web application where you can type something like "upbeat road trip with the windows down" and get back a ranked list of songs that fit that feeling. Let's get into it!
How It Actually Works
