Skip to main content

A fast, efficient universal vector embedding utility package.

Project description


About
-----
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 <https://www.plasticity.ai/>`_. It is primarily intended to be a faster alternative to `Gensim <https://radimrehurek.com/gensim/>`_, but can be used as a generic key-vector store for domains outside NLP.

Documentation
-------------
You can see the full documentation and README at the `GitLab repository <https://gitlab.com/Plasticity/magnitude>`_ or the `GitHub repository <https://github.com/plasticityai/magnitude>`_.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymagnitude-0.1.29.tar.gz (1.9 MB view details)

Uploaded Source

File details

Details for the file pymagnitude-0.1.29.tar.gz.

File metadata

  • Download URL: pymagnitude-0.1.29.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pymagnitude-0.1.29.tar.gz
Algorithm Hash digest
SHA256 60d51fd8eba43284e02ab58aba63587faaafe7661d275ed40cf96df55c27e058
MD5 7e54ecd97996c3a636911c613dc7f984
BLAKE2b-256 9dce8534bde704bc2940e486787c29fa7b1a041907adfc67d4163b5799871ceb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page