/services/databases
AI is only as smart as your data. We start there.
Schema design, performance tuning, migration and vector search. The layer every intelligent feature depends on, treated as the main event rather than plumbing.
// what we do
Where we earn our keep
- Schema design. Data models that stay coherent as your product grows, structured so both your reports and your AI features can read them cleanly.
- Vector search. Embeddings, similarity search and hybrid retrieval built on pgvector or a dedicated store, tuned for recall your assistant can trust.
- Performance tuning. Slow queries found, explained and fixed by reading the query plan, not by buying bigger servers.
- Migrations without downtime. Moving between engines, versions or providers with data verified row by row and a rollback path at every stage.
// tools we reach for
The stack
Chosen per project, never by habit. These are the tools we most often ship with for databases.
// deliverables
What you actually get
Every engagement ends with things you can point at, not hours on an invoice.
A documented schema
Entity diagrams and data dictionaries that match what's actually deployed.
Retrieval quality report
For AI workloads: recall and precision measured on your real queries, before and after tuning.
Query performance report
The slowest queries, why they were slow, and the timings after we fixed them.
Backup and restore plan
Automated backups, tested restores, and the recovery time you can expect in writing.
Access controls
Who and what can read which tables, enforced in the database. AI systems get the narrowest grant that works.
Live dashboards
The numbers your business runs on, pulled from the source instead of pasted into spreadsheets.