CogitatorTech/vq

A vector quantization library for Rust :crab: with Python bindings 🐍

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Emerging

When working with large collections of high-dimensional data, such as embedding vectors used in AI applications or vector databases, you often face challenges with storage space and search speed. This tool helps by compressing these vectors into a much smaller, approximate representation. This means you can store more data and find relevant information faster, which is useful for data scientists and machine learning engineers managing large datasets.

Use this if you need to significantly reduce the memory footprint and improve the search speed of high-dimensional vectors in applications like vector databases or RAG systems.

Not ideal if your primary goal is perfect data fidelity or if you are working with low-dimensional data where compression benefits are negligible.

data-compression vector-databases machine-learning-engineering information-retrieval large-scale-data

No Package No Dependents

Maintenance 10 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 5 / 25

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Language

Rust

License

Apache-2.0

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