RAG & Agents

Product Quantization (PQ)

Splitting a vector into m subvectors and quantising each with its own 256-centroid codebook, storing m bytes per vector.

Why interviewers ask about it

8–64× compression with distances from lookup tables. Pair with an exact rescoring stage over the top ~200 to recover most of the lost accuracy.

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