RyanCodrai/turbovec: A vector index built on TurboQuant, written in Rust with Python bindings (opens in new tab)
A vector index built on TurboQuant, written in Rust with Python bindings A 10 million document corpus takes 31 GB of RAM as float32. turbovec fits it in 4 GB - and searches it faster than FAISS. turbovec is a Rust vector index with Python bindings, built on Google Research's Online ingest. Add vectors, they're indexed — no train step, no parameter tuning, no rebuilds as the corpus grows. Faster than FAISS. Hand-written NEON (ARM) and AVX-512BW (x86) kernels beat FAISS IndexPQFastScan by 12–20...
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