https://pypi.org/project/turboquant-pro/ Recent updates to the Python Package Index for turboquant-pro en https://pypi.org/project/turboquant-pro/1.0.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Sat, 11 Apr 2026 03:02:51 GMT https://pypi.org/project/turboquant-pro/0.10.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Sat, 11 Apr 2026 02:48:20 GMT https://pypi.org/project/turboquant-pro/0.9.1/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Sat, 11 Apr 2026 02:30:03 GMT https://pypi.org/project/turboquant-pro/0.9.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Sat, 11 Apr 2026 02:09:08 GMT https://pypi.org/project/turboquant-pro/0.8.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Sat, 11 Apr 2026 00:29:42 GMT https://pypi.org/project/turboquant-pro/0.7.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Thu, 09 Apr 2026 20:22:15 GMT https://pypi.org/project/turboquant-pro/0.6.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Thu, 09 Apr 2026 18:21:29 GMT https://pypi.org/project/turboquant-pro/0.5.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Thu, 09 Apr 2026 06:02:19 GMT https://pypi.org/project/turboquant-pro/0.4.0/ PCA-Matryoshka + TurboQuant compression for embeddings, LLM KV caches, pgvector, and NATS — up to 27x compression andrew.bond@sjsu.edu Thu, 09 Apr 2026 05:54:56 GMT https://pypi.org/project/turboquant-pro/0.2.0/ TurboQuant compression for LLM KV caches, pgvector embeddings, and NATS transport — 5-10x memory reduction andrew.bond@sjsu.edu Fri, 03 Apr 2026 17:20:27 GMT