Neural Mastery
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#195. Reciprocal Rank Fusion (RRF)medium

#195. Reciprocal Rank Fusion (RRF)

mediumRAG Fundamentals⏱ 15–20 min
⚡ Libraries allowed · Pure Python earns +10 bonus XP
🎯 Mission
Implement #195. Reciprocal Rank Fusion (RRF) to master core AI engineering concepts in RAG Fundamentals.

Task

Implement `reciprocal_rank_fusion_rrf` in Python. Test cases verify edge cases and functional requirements.

Function Signature

reciprocal_rank_fusion_rrf(*args, **kwargs)

Examples

Example 1: Basic Execution
Input: {}
Output: true
Explanation: Verifies core execution for #195. Reciprocal Rank Fusion (RRF).

Constraints

  • Libraries (NumPy, PyTorch, SciPy) are allowed and accepted normally.
  • Pure Python (no external libraries) earns +10 Bonus XP!
  • Must handle edge cases cleanly.
Python3Saved ✓
def reciprocal_rank_fusion_rrf(*args, **kwargs):
"""
RAG Fundamentals - Problem #195: Reciprocal Rank Fusion (RRF)
Implement solution for Reciprocal Rank Fusion (RRF) in the Neural Mastery AI Engineering curriculum.
"""
# Implement core solution logic here
pass

Case 1: Basic Execution
Input: {}
Expected: true