Your vector store and your database are already drifting apart.
Every write creates a sync problem. Deleted docs still show in search. Agents retrieve stale context.
It's not a retrieval problem, it's a database boundary problem.
→ pingcap.com/blog/vector-se…#TiDB#VectorSearch
AI made code cheap to rewrite. It didn't make your data any cheaper to move.
Why the teams that win the AI era own their data layer and why open source is where that happens.
Terry Purcell (Field CTO, TiDB) → pingcap.com/blog/open-sour…#TiDB#OpenSource#AgenticAI#DistributedSQL
Todo mundo fala de IA. Rodar em produção é um problema de dados.
02/09, São Paulo — AWS × TiDB Builders Day. Aprenda, construa, conecte: hackathon ao vivo + showcase de cliente local sobre escalar IA na TiDB.
Gratuito, vagas limitadas 👇
pingcap.com/event/aws-x-ti…
206.6 TiB PITR wasn't viable. Now it is.
TiDB log compaction skips the replay entirely - converts backed-up logs to SST files offline, imports directly.
98.9% reduction in log restore time on typical workloads. TiDB v8.5.5.
→ pingcap.com/blog/tidb-log-…#TiDB#PITR