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Design a RAG-as-a-service platform that lets teams build retrieval-augmented apps over their own data.

Offering RAG as a product means handling messy ingestion, multi-tenant isolation, and per-customer index freshness, all behind a simple API. Learn the ingestion and query planes, how to keep tenants isolated, and how to give customers eval and observability.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Offering RAG as a product means handling messy ingestion, multi-tenant isolation, and per-customer index freshness, all behind a simple API. Learn the ingestion and query planes, how to keep tenants isolated, and how to give customers eval and observability.

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LEARN THE BACKGROUND

No lesson covers this question directly yet. These teach the surrounding topic from the beginning.

Applied AI Engineering·The interviewPremium14mDriving the design conversationA design round is a conversation you are expected to lead, not a question you answer. This lesson is the shape that works, the four moments that decide the outcome, and the two classic ways strong candidates lose one.Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.
UP NEXT ON YOUR JOURNEY
Next in this trackDesign a real-time speech translation system (speak in one language, hear another) with low latency.Next in this trackDesign a notification and fan-out system that delivers to millions of users across push, email, and SMS.Next in this trackDesign the ride-matching system that pairs riders with nearby drivers in real time.
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