AI DJ (Database Search)

Catalog retrieval backend for AI DJ

Database retrieval layer that powers the catalog side of AI DJ with fast semantic and metadata-aware search.

Retrieval-Augmented GenerationRecommendation SystemsData Architecture

The Problem

Traditional search: type “happy summer song,” get results with those exact words in the title. Useless. You want tracks that feel like happy summer, even if they’re in Japanese.

The Magic

We embedded millions of tracks into a semantic vector space. Search by vibe, not vocabulary. “Something that sounds like driving through LA at sunset” actually works here.

The Tech

  • Custom audio embeddings from spectral analysis
  • Hybrid retrieval: semantic + metadata filtering
  • Sub-100ms query response at scale