A vector index built on TurboQuant

[Joe Caverly]

A 10 million document corpus takes 31 GB of RAM as float32.

turbovec fits it in 4 GB - and searches it faster than FAISS.

GitHub - RyanCodrai/turbovec: A vector index built on TurboQuant, written in Rust with Python bindings

A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec

github.com