Implement retrieval and evaluation for a simple RAG

Quick Overview

This question evaluates understanding of embedding-based retrieval, cosine similarity ranking, and retrieval evaluation metrics (Recall@10 and MRR@10), along with efficient NumPy/Pandas-based data processing for vector search in the Coding & Algorithms domain.

Implement retrieval and evaluation for a simple RAG

Company: Harvey

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates understanding of embedding-based retrieval, cosine similarity ranking, and retrieval evaluation metrics (Recall@10 and MRR@10), along with efficient NumPy/Pandas-based data processing for vector search in the Coding & Algorithms domain.

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Harvey
Mar 1, 2026, 12:00 AM
mediumSoftware EngineerOnsiteCoding & Algorithms
10
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