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Exercise
Score retrieval candidates with metadata boosts
Combine vector similarity and metadata weighting into a final retrieval score for candidate chunks.
Retrieval / medium / Step 1 of 15
Practice stage
Retrieval quality and ranking
Hint
Do not trust a single score blindly. Combine ranking logic with metadata and think about why a candidate deserves to rise.
Success criteria
- - Ranking rule is explainable
- - Supports future iteration without rewriting everything
- - Feels tied to product trust rather than pure math trivia
Review checklist
- - Did I account for both relevance and metadata?
- - Would I be able to explain the ranking rule in an interview?
- - Does the code make future tuning easy?
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