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. 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.
Documentation
You can see the full documentation and README at the GitLab repository or the GitHub repository.
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-0.1.143.tar.gz
(5.4 MB
view details)
File details
Details for the file pymagnitude-0.1.143.tar.gz
.
File metadata
- Download URL: pymagnitude-0.1.143.tar.gz
- Upload date:
- Size: 5.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c97f552ea28d733aeac7058821ae876fe6b2f42392786bc4dd231ef73b3c8fe2 |
|
MD5 | a0ee063d652fb716157ad7decb503acc |
|
BLAKE2b-256 | 6940ec05f0630f6dd56eb323dee5bc70a52e4f21247185d8662d3d08267cc6c7 |