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Automated security patch backporting tools show stark performance drops in real-world scenarios, revealing hidden challenges that could reshape tool development.
Privacy-preserving RFANNS can now be performed on encrypted vector databases without compromising the efficiency of search queries.
FROG achieves up to 37.7x faster RFANNS query throughput on GPUs, revolutionizing how vector databases handle range-filtering tasks.
