How would you debug a production issue related to RAG in a ASP.NET Core with Agentic AI application?

Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps.

Explain a bit more

How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI. Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI. Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI. Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI.

Example code

Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI. Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI. Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI. Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for ASP.NET Core with Agentic AI.

Real-world example (ShopNest)

In a ShopNest recommendation feature, this matters for accuracy, latency, cost, and how you handle bad model output.

Say this in the interview

1. Define — one clear sentence (the short answer above).
2. Example — relate it to a project like ShopNest or your real work.
3. Trade-off — when you would not use it.