SVD performs poorly for compression in terms of accuracy / compression ratio. As the Bolt paper said, for that, product quantization is the way to go. However,

SVD performs poorly for compression in terms of accuracy / compression ratio. As the Bolt paper said, for that, product quantization is the way to go. However, the accuracy trade-off is still pretty big, that's why it is mostly used for coarse similarity recalls (such as faiss or scann).