RyanCodrai/turbovec

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 TurboQuant algorithm — a data-oblivious quantizer with near-optimal distortion and no separate training phase. Online ingest. Add vectors, they're indexed — no train step, no parameter tuning, no rebuilds as the corpus grows...