Next.js + Supabase
for AI startups.
Next.js + Supabase is the modern open-source full-stack default. PostgreSQL with auth, storage, and realtime — paired with the most mature React framework. For AI startups: Pair with pgvector for RAG, edge functions for AI proxies, careful PII handling.
This stack, applied to you.
For AI startups, Next.js + Supabase pairs well with pgvector for RAG — same database for relational data and vectors. Edge functions handle AI proxies (rate limiting, cost tracking, observability). Auth and storage are non-issues. The stack lets a small AI team focus on the AI work itself rather than backend plumbing.
AI startups-specific gotchas
- pgvector indexes (HNSW) need tuning at scale
- Edge functions on Supabase have memory limits — use carefully for AI calls
- PII handling in vector stores requires careful design
- Audit logging for AI calls is non-optional for regulated industries
- Cost tracking per-customer per-call needs careful design upfront
An AI startup builds a RAG-based legal-tech tool on Next.js + Supabase + pgvector. Total stack: one Postgres database, one frontend, one auth provider. They ship in 8 weeks instead of 16, and their RAG system runs on the same database as their relational data.
Common AI startups questions.
When do we move RAG to a dedicated vector DB?
Past 50M vectors or strict latency requirements. Most AI startups never hit this.
How do we handle prompt injection in retrieved content?
Sanitize before retrieval, validate after generation, structured outputs as defense-in-depth.
We've shipped this.
Default stack for most SaaS clients. Used on 8+ Vedwix projects. If you're a AI startups shipping on this stack, we can save you a quarter.
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