AINeutralarXiv – CS AI · 18h ago6/10
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Projection and Quantisation: A Unifying View of Learning to Hash, from Random Projections to the RAG Era
Researchers present a unified framework (PQO) that unifies diverse approximate nearest neighbor search methods under three design choices: projection placement, quantization thresholds, and code organization. The framework demonstrates that one-bit codes achieve 32x compression over floats while maintaining quality through re-ranking, with supervised eight-byte codes doubling the performance of two-kilobyte embeddings.