https://pypi.org/project/turboquant-vectors/ Recent updates to the Python Package Index for turboquant-vectors en https://pypi.org/project/turboquant-vectors/0.3.0/ Compress and protect embeddings with TurboQuant. Zero-loss privacy via orthogonal rotation + 8x compression. No training needed. Thu, 26 Mar 2026 02:29:25 GMT https://pypi.org/project/turboquant-vectors/0.2.2/ Compress and protect embeddings with TurboQuant. Zero-loss privacy via orthogonal rotation + 8x compression. No training needed. Wed, 25 Mar 2026 21:44:52 GMT https://pypi.org/project/turboquant-vectors/0.2.1/ Compress and protect embeddings with TurboQuant. Zero-loss privacy via orthogonal rotation + 8x compression. No training needed. Wed, 25 Mar 2026 21:40:57 GMT https://pypi.org/project/turboquant-vectors/0.2.0/ Compress and protect embeddings with TurboQuant. Zero-loss privacy via orthogonal rotation + 8x compression. No training needed. Wed, 25 Mar 2026 20:58:49 GMT https://pypi.org/project/turboquant-vectors/0.1.0b1/ Compress embeddings 8x instantly with TurboQuant. No training needed. Up to +8pp recall vs FAISS PQ at matched storage. Wed, 25 Mar 2026 20:24:40 GMT