RAG Interview Questions, issue 9, Jul 13, 2026

The Equal Split Trap

Senior ML Engineer interview at Pinterest, and the interviewer asks:

You’re building a Product Quantization index. You split each vector into M subvectors and run k-means on each. A teammate says the split point doesn’t matter because the information is spread uniformly. Do you ship it?

Don’t say: Sure, embeddings are dense, so any equal split works.

Why arbitrary chunking tears correlated dimensions apart and quietly ruins vector search, and how rotating your embeddings saves your latency-recall tradeoff.

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