Multi-vector retrieval methods such as ColBERT and its recent variant, the ConteXtualized Token Retriever (XTR), offer high accuracy but face efficiency challenges at scale. To address this, we present WARP, a retrieval engine that substantially improves the efficiency of retrievers trained with the XTR objective through three key innovations: (1) WARP$_\text{SELECT}$ for dynamic similarity imputation; (2) implicit decompression, avoiding costly vector reconstruction during retrieval; and (3)...| arXiv.org
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
Learn to enhance vector search accuracy with ColBERT rerank using PostgreSQL and VectorChord in this comprehensive tutorial| VectorChord blog