Turbovec implements Google Research's TurboQuant algorithm to index 10 million documents in 4 GB of RAM compared to 31 GB for float32. The Rust-based engine supports online ingestion without retraining and outperforms FAISS IndexPQFastScan using hand-written SIMD kernels for AVX-512 and ARM NEON.
HOW THIS AFFECTS YOU
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builderYou can significantly reduce vector database memory costs and improve search latency using SIMD-optimized quantization.
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founderThis changes your infrastructure unit economics for large-scale retrieval-augmented generation applications.