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AI Agent SystemsBusiness AutomationRAG ChatbotsVoice + WhatsApp AgentsCustom AI WorkflowsCustom Web AppsE-Commerce PlatformsAPI + Backend BuildsDatabase ArchitecturePerformance OptimizationAI Agent SystemsBusiness AutomationRAG ChatbotsVoice + WhatsApp AgentsCustom AI WorkflowsCustom Web AppsE-Commerce PlatformsAPI + Backend BuildsDatabase ArchitecturePerformance Optimization
05 · Sub-discipline

Database Architecture

Postgres-first. Migrations, RLS, pgvector, multi-tenant isolation.

The schema you wish you had on day one. Migration discipline, audit patterns, indexing strategy, pgvector for RAG-aware data, and row-level security that actually isolates tenants.

What you get

4 pillars

Schema design + audit

Soft-delete patterns, audit trails on money-affecting tables, foreign-key discipline. Schemas that age.

Migrations discipline

Alembic / Drizzle / Prisma migrations that are reversible, reviewable, and safe under concurrent writes.

pgvector + hybrid search

RAG-aware schemas, vector + keyword hybrid search, recency boosts. Pick the right retrieval shape per query class.

Multi-tenant isolation

Row-level security, tenant-scoped indexes, query-plan checks — verified, not assumed.

Tools we reach for

Not exhaustive
PostgrespgvectorSupabaseDrizzlePrismaAlembicSQLAlchemy

Frequently asked

4 questions

When do I need pgvector or a vector database?

Whenever your product does semantic search, RAG, recommendation, or deduplication. pgvector keeps embeddings alongside relational data — one database to back up, query, and reason about. Switch to Pinecone or Weaviate only at very large scale.

How are migrations managed safely in production?

Versioned migrations (Drizzle, Prisma Migrate, Alembic) run in CI. Reversible by default. Zero-downtime patterns (expand-and-contract) for schema changes touching live tables. Backups taken automatically before destructive operations.

Is multi-tenant data isolation enforced at the database?

Yes — Postgres Row Level Security (RLS). Every query is filtered by tenant_id at the database layer, not just app code. Even a forgotten WHERE clause cannot leak across tenants because the database refuses to return out-of-tenant rows.

What about backups and disaster recovery?

Daily snapshots with point-in-time recovery on managed Postgres (Supabase, RDS, Neon). RTO under 1 hour, RPO under 5 minutes for production workloads. DR runbooks tested quarterly, not once and forgotten.

Sounds like the bucket you’re in?

Tell me what you’re trying to build. I’ll send a written proposal within 48 hours of our discovery call.