Smart search solution for your data

Hey everyone, I’m one of the makers of Vecstore. We launched here about a year ago, and since then we’ve rebuilt most of the stack. Sharing what we learned and what changed:

• New model: understands both photos and text, with noticeably better accuracy

• Rust embedding service: an image gets embedded in about 12ms

• Moved everything into Postgres: queries take about 3ms on 10M records

• Hybrid ranking: semantic search alone kept missing exact names and SKUs, so we blended in keyword matching

It’s built for marketplaces, ecommerce, and any app with lots of photos. It also handles NSFW detection and duplicate image detection.

You can try the demo without signing up: https://vecstore.app/demo

Two questions for the community:

1. If you’ve built search into a product, where did pure semantic search let you down?

2. Try a few queries in the demo. Do the results match what you expected?

Happy to answer anything about the Rust or Postgres migration too.