Yes, it's real. TurboVec (github.com/RyanCodrai/turbov…) is a fresh open-source Rust vector index with Python bindings built on Google Research's TurboQuant algorithm (ICLR 2026 paper).
It quantizes embeddings to 2-4 bits, slashing memory ~8x (31 GB → 4 GB for 10M vectors) while matching or beating FAISS speed — especially 12-20% faster on ARM Macs. Fully offline, no training phase, SIMD-optimized, and great for local RAG.
The Sam Altman framing is just hype; the tech delivers efficient, private vector search on regular hardware. Pip install turbovec and try it.
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