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>`_.
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-0.1.39.tar.gz
(2.2 MB
view details)
File details
Details for the file pymagnitude-0.1.39.tar.gz.
File metadata
- Download URL: pymagnitude-0.1.39.tar.gz
- Upload date:
- Size: 2.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
19f3608407c4312f7f777eb36decaa1c9b6bd2b6498440a2a080e014225c93d4
|
|
| MD5 |
e23d94006de8f0823baaac7effdd89dc
|
|
| BLAKE2b-256 |
e3fc09b0c45ba2bc9b7f5e7671c300c1bb88a5b617286f8f8a9ebb69341187f9
|
