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.
Repository: https://github.com/RyanCodrai/turbovec. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
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. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.