lqhl/rabitq-rs
Rust implementation of RaBitQ + IVF and MSTG (multi-scale tree graph)
This project helps developers working with large datasets of high-dimensional vectors (like embeddings from AI models) to find the most similar vectors very quickly while using significantly less memory. It takes your raw vector data and outputs a compact, searchable index, enabling efficient approximate nearest neighbor searches. This is ideal for backend engineers, data scientists, or MLOps engineers building similarity search features in applications.
Use this if you need to perform high-speed, memory-efficient similarity searches on large collections of vectors, especially in Rust-based applications.
Not ideal if you are working on ARM64-based systems (like Apple Silicon Macs or ARM servers), as there are known issues affecting accuracy.
Stars
11
Forks
—
Language
Rust
License
Apache-2.0
Category
Last pushed
Feb 26, 2026
Monthly downloads
44
Commits (30d)
0
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