I Was Optimizing Ranking While the Real Problem Was Selection
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I mistook movement for improvement. For three months, I changed our ranking algorithm every two weeks. BM25. Hybrid BM25 + vector search. A cross-encoder reranker. A different embedding model. Yet another embedding model. Every change moved a few documents up or down the list. None of them made the answers better. The Same Wrong Answer, Wearing a Different Tie The user asked: "Why does the gateway reject service X?" With BM25, the top result was a glossary page defining gateway . Relevant by…
1Key Takeaways
- For three months, I changed our ranking algorithm every two weeks.
- Every change moved a few documents up or down the list.
- None of them made the answers better.
- The Same Wrong Answer, Wearing a Different Tie The user asked: "Why does the gateway reject service X?" With BM25, the top result was a glossary page defining gateway .
2AIWedia Score
8.5/10
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that for three months, I changed our ranking algorithm every two weeks.
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