Google's TurboVec Reduces Vector Database Memory from 31GB to 4GB, Launches Late May

According to Google Research and developer Ryan Codrai, TurboVec, an open-source vector index library, launched in late May and significantly reduces memory requirements for vector databases. The tool compresses 10 million vectors from 31GB (float32 format) to approximately 4GB—an 87% reduction. TurboVec supports offline operation and runs efficiently on standard consumer hardware such as MacBooks, eliminating the need for expensive GPU clusters or cloud services.
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