RAG & Retrieval interview questions
Retrieval quality for RAG — chunking strategy, reranking, multi-hop retrieval, and knowing when a deployment actually needs retrieval versus a bigger context window.
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- Agent Ignores Documents Uploaded in the Last Hour
- Build a Lightweight Eval Harness for the Agent
- Support Agent Got Slow and Expensive After Launch
- RAG Agent Returns Wrong Answers After a Deploy
- Build a Health Check So the Customer Can Trust the Deployment
- Customer PII Is Leaking Into the Logs
- Turn a One-Shot Prompt into a Reliable Multi-Step Agent
- Agent Gives Contradictory Answers from Conflicting Sources
- Capstone: Diagnose a Production Incident and Brief the Bridge
- One Customer Can See Another Customer's Data
- Re-Architect Retrieval to Scale to 2 Million Documents
- Stop the Agent Inventing Facts in a Regulated Domain
- Customer Wants a Feature the Platform Can't Do Yet
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