ColBERTSaR uses product quantization on ColBERT embeddings to create a true inverted index that is 50-70% smaller than one-bit PLAID while retaining retrieval effectiveness, and is theoretically equivalent to learned-sparse retrieval except for scoring.
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ColBERTSaR: Sparsified ColBERT Index via Product Quantization
ColBERTSaR uses product quantization on ColBERT embeddings to create a true inverted index that is 50-70% smaller than one-bit PLAID while retaining retrieval effectiveness, and is theoretically equivalent to learned-sparse retrieval except for scoring.