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19 Aug 2026, 2:07 AMHacker News7.5 Turbovec – Google's TurboQuant for vector search in Rust

turbovec is an open-source Rust vector index with Python bindings that implements Google Research's TurboQuant algorithm, compressing a 10M-document 1536-dim corpus from 31 GB (float32) to 4 GB with no training phase. It beats FAISS IndexPQFastScan by 3.4× at 4-bit and 23% at 2-bit across ARM and x86 SIMD kernels, supports online ingest, incremental crash-safe saves, and search-time filtering via allowlists or bitmasks.

Why: If you are building RAG or vector search in-house and RAM cost or latency is a bottleneck, turbovec lets you drop a 31 GB index to 4 GB with pip install turbovec and no training step—evaluate it as a FAISS replacement before committing to a managed vector DB, especially for air-gapped or VPC-only deployments.

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