From Complex to Simple: How We Built seekdb for the AI Era

Mike Liu
Mike Liu
Published on November 28, 2025
10 minute read
Key Takeaways
  • AI applications don't need another heavy enterprise database — they need unified multi-modal storage (scalar + vector + text + JSON + GIS), true hybrid search in a single query, and built-in AI functions (embed, rerank, complete), all behind a MySQL-compatible SQL interface.
  • seekdb is OceanBase's answer: an Apache 2.0 AI-native search database that eliminates the Frankenstein stack. All indexes live in the same ACID transaction domain — no CDC lag, no glue code, no inconsistency window.
  • Ships in two modes: embedded (pip install, zero infra) for prototyping, and server mode (production-grade on 1C2G) for scale — same code, same API, from laptop to cluster.
Share
X
linkedin
ICON_SHARE
mail