RyanCodrai/turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
Python17K stars1.5K forks+1.5K today
Topics
#ann#avx512#embeddings#faiss#nearest-neighbor#neon#python#quantization#rag#rust#simd#vector-search#embedding#quant#turboquant
What it does
turbovec is a Rust-based vector index with Python bindings that offers efficient memory usage and faster search speeds compared to FAISS, making it ideal for large-scale document retrieval systems.
Star history
Tracking
- Last trending
- 2026-06-07
Creator kit
Hook
Discover turbovec: the vector index that fits a 10M doc corpus in just 4GB RAM and searches it faster than FAISS. #AI
Content angles
- Comparative analysis of turbovec vs. FAISS for large-scale document retrieval
- How to implement privacy-preserving RAG systems with turbovec
- Optimizing memory usage in AI applications using Rust-based vector indexing
Who should care
Data scientists, machine learning engineers, and developers working on large-scale information retrieval or recommendation systems.