library
RyanCodrai/turbovec
A fast vector index library for small to medium datasets, excelling in specific scenarios with its custom quantization, but lacking the ecosystem and feature depth of more mature solutions.
6.6Overall
Utility6
Onboarding7
Craft7
Niche fit7
Longevity6
Five dimensions scored independently; overall is a weighted average. Scores are only comparable within this same rubric.
Good for
Teams needing a high-performance, memory-efficient local vector index for small to medium datasets (e.g., up to a few million vectors) with Python integration.
Not for
Teams dealing with large-scale, distributed vector indexing, or requiring advanced features like filtering, hybrid search, cloud service integration, and a more mature ecosystem with long-term support.
Project description
A vector index built on TurboQuant, written in Rust with Python bindings
Alternatives
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