Free tool

RAG Readiness Audit.

10 questions. 90 seconds. Get a grade, plus concrete next steps, for whether retrieval-augmented generation will work for your use case.

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Will RAG actually work for your use case?

10 questions. 90 seconds. Get a grade (A-F) plus tailored recommendations from a team that has shipped production RAG on healthcare, finance, retail, and logistics data.

  • ✓ No signup, no email
  • ✓ Results visible immediately
  • ✓ Score below B unlocks a free consultation slot

What this audit checks

We score 10 dimensions that predict whether a RAG system will work in production: data volume, format, update frequency, sensitivity, query complexity, scale, eval readiness, team experience, error tolerance, and budget. Each weighted by what we've seen actually matter on 30+ shipped engagements.

What the grades mean

  • A (90-100): Strong fit. Ship a prototype this month.
  • B (78-89): Mostly there. A few items to button up before production.
  • C (65-77): RAG can work, but you have meaningful work to do first.
  • D (50-64): Several blockers. Address them before investing more.
  • F (<50): RAG may not be the right tool. Save weeks by having a consultation first.

The audit is opinionated. It reflects the things we've seen kill RAG projects in production, not just academic best practices.