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A fast, efficient universal vector embedding utility package.

Project description


A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity. It is primarily intended to be a faster alternative to Gensim, but can be used as a generic key-vector store for domains outside NLP.


You can see the full documentation and README at the GitLab repository or the GitHub repository.

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Files for pymagnitude, version 0.1.143
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