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/ AI Case Study

AI knowledge platform rebuilt on Next.js + RAG

A product team replaced a brittle Python knowledge surface with a grounded Next.js and RAG stack to improve onboarding and support resolution.

AI platformUSA
Challenge

A patched Python monolith blocked onboarding and support automation.

Solution

Rebuilt the product on Next.js with server actions and a grounded RAG help assistant.

Outcome

Stronger onboarding and lower support load

The brief

A patched Python monolith blocked onboarding and support automation, and the team could not trust the knowledge experience enough to scale it.

What we changed

We rebuilt the product on Next.js with server actions, reworked the information flow and introduced a grounded RAG assistant over trusted support content.

Delivery shape

  • Next.js App Router frontend
  • Node services for orchestration
  • Hybrid retrieval over curated content
  • Eval and guardrail workflow before release

Rollout notes

  • Migrated users without breaking core support flows
  • Reframed help content around real support questions
  • Added observability around answer quality and failures

Outcome

The result was stronger onboarding, lower support load and a cleaner foundation for future AI-assisted product flows.

#Next.js#RAG#Node
Taking on 4 engagements for Q3 2026

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