SIMD-accelerated 4/8-bit vector quantization for approximate nearest neighbor search, based on TurboQuant (ICLR 2026). Standalone C++17 library with Python bindings
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Updated
Apr 20, 2026 - Jupyter Notebook
SIMD-accelerated 4/8-bit vector quantization for approximate nearest neighbor search, based on TurboQuant (ICLR 2026). Standalone C++17 library with Python bindings
A clean-room implementation of Google Research's TurboQuant, with the RaBitQ unbiased-estimator correction. Runs anywhere JavaScript runs; Node, browsers, Bun, Cloudflare Workers, React Native.
The Zero-Overhead, Agent-Ready AI Memory Backbone. Ultra‑fast, SIMD‑accelerated semantic search engine built on Java Vector API + modern JVM technologies.
Lightweight, fast, secure, and free document chat system powered by Qwen AI and TurboVec search.
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