AI/ML●●●Banger
TurboQuant-WASM – Google's vector quantization in the browser
Google's ICLR 2026 quantization paper running client-side with SIMD-accelerated dot products.
WizardryZero to One
teamchong
16573mo ago
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GitHub Repository
A vector index built on TurboQuant, written in Rust with Python bindings
13,559 starsPython
TurboQuant for vector search – 2-4 bit compression
by justsomeguy1996·Mar 29, 2026·89 points·6 comments
AI Analysis
●●SolidBig BrainNiche Gem
Data-oblivious quantization beats Product Quantization on online updates.
Strengths
- •Random rotation + Lloyd-Max quantization achieves 16x compression with near-optimal distortion
- •No training required means vectors can be added without rebuilding the index
- •Reproduces paper benchmarks with actual recall@k measurements on M3 Max
Weaknesses
- •Unofficial implementation competing against FAISS, Milvus, and Pinecone's built-in compression
- •97 stars suggests limited real-world adoption or production testing so far
Category
Target Audience
ML engineers building vector search systems
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FAISS · SPTAG · DiskANN
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