About
Rust vector index with Python bindings built on Google Research's TurboQuant algorithm — shrinks a 31GB float32 vector corpus to ~4GB while searching faster than FAISS, fully local/air-gapped.
Features
- Vector indexing
- Python bindings
- Quantized similarity search
Tags
vector-searchembeddingsrustpythonraglocal