High-performance vector indexing with Rust
Built on the TurboQuant infrastructure, turbovec is a high-performance vector index tool developed with the Rust language. Thanks to Python bindings, it allows developers to perform vector-based search operations quickly and efficiently.
Updates
- September 1, 2026: Stars 15,603 → 16,608.
- August 19, 2026: Stars 14,575 → 15,603.
- August 2, 2026: Stars 7,703 → 14,575.
What you get
- It reduces memory usage by highly compressing vector data.
- It provides instant data addition and fast searching without requiring a training phase.
- It maintains performance by performing filtering operations during the search.
Installation
pip install turboveccargo add turbovecIf you don't write code
I want to use the turbovec library to speed up vector-based search operations in my Python or Rust projects. Help me set up a RAG system or vector database structure using the basic indexing, data appending and searching functions of this tool built on the TurboQuant algorithm. Explain with example code how to configure 4-bit wide indexes, which specifically saves memory, and how to apply filtering features during search.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-08: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.