DEMO Django application of usage library 'django-mariadb-vector' (MariaDB Vector)

pip install django-mariadb-vector

📒 Django MariaDB Vector DEMO application 

A minimal demo project showing how to build article recommendations using vector similarity in Django with MariaDB as the database.

The app stores articles, embeds their content into vectors, and then finds similar articles based on vector distance.

🔗 Repo: https://github.com/lexxai/django-mariadb-vector-demo
🔗 Examples: https://github.com/lexxai/django-mariadb-vector-demo/tree/main/docs

🔗 Repo library: https://github.com/lexxai/django-mariadb-vector

Features

• Django application using MariaDB as the primary database
• Article model with text content
• Vector-based similarity search for recommendations
• Simple UI:
• List of all articles
• "Similar articles" view for a selected article
• Admin interface to add and manage articles

Django MariaDB Vector package on pypi - 'django-mariadb-vector'

pip install django-mariadb-vector

📒 Django MariaDB Vector

The Vector field, introduced in MariaDB 11.7, now has a simple library called 'django-mariadb-vector' that adds Django ORM support for it.

Created by me and shared for everyone to use.

🔸 pip install django-mariadb-vector

🔗 Repo: https://github.com/lexxai/django-mariadb-vector
🔗 Demo: https://github.com/lexxai/django-mariadb-vector-demo
🔗 Examples: https://github.com/lexxai/django-mariadb-vector-demo/tree/main/docs

MariaDB introduced native vector support, allowing you to store embeddings and perform similarity search directly in the database.

However, Django currently lacks:

• a native VECTOR model field
• ORM support for vector queries
• automatic migration
• support for vector indexes