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Turbovec Review 2026 — Google's TurboQuant Vector Index in Rust, 8× Memory Compression
Turbovec is a Rust vector index with Python bindings built on Google Research's TurboQuant — a data-oblivious quantizer that needs no training phase. It claims 31 GB to 4 GB compression for a 10M-document corpus and 3.4× faster search than FAISS IndexPQFastScan at 4-bit. We review the benchmarks, the 15,200-star repo, the community's 'vibe-coded' criticism, and where it fits in a real RAG stack.