Why we use Vector DBs
Semantic retrieval that grounds models in your private data. We pick Vector DBs when it improves shipping speed, reliability, or maintainability for the problem at hand — not because it is fashionable.
How we deliver with Vector DBs
Discovery maps constraints and success metrics. Engineering ships iteratively with review gates, observability, and documentation your team can own after launch.
When Vector DBs is the right fit
We recommend Vector DBs when the product shape, team skills, and operating model align. If another tool fits better, we say so early — with a clear trade-off narrative.