RAG Support Assistant Build AI-Assisted Coding Interview

Build a small retrieval-augmented support pipeline over a supplied FAQ corpus and define a lightweight grounding evaluation.

Mock Interview with AI

1. Problem Statement

Build a small FAQ retrieval pipeline, construct a context-grounded model prompt, and define a simple way to assess whether an answer uses the retrieved evidence.

2. Live Coding Format

Work in the provided coding workspace while explaining your decisions to the live interviewer. Validation may use inline tests, examples, comments, or a verbal walkthrough.

3. Key Focus Areas

1
Retrieval design
2
Prompt quality
3
Pipeline boundaries
4
Evaluation methodology
5
AI interaction transparency

4. What Strong Candidates Should Demonstrate

✓Implement an explainable retrieval baseline without external services.
✓Clearly delimit context and instructions in a grounded prompt.
✓Describe the limitations of automatic grounding metrics.

Want interactive feedback?

Practice this problem in the live coding workspace while the interviewer probes your clarification, implementation, trade-offs, and validation.

Start Interview

Core Concepts

Retrieval-Augmented GenerationPrompt ConstructionGrounding EvaluationPipeline Integration