A fast and scalable app that adds vector search capabilities to your Django applications. It offers low latency, fast search results, native Django integration, and automatic syncing between your models and the vector index. Incremental updates are also supported out of the box.
Hi, I've tried installing on Django 5, which Django VectorDB doesn't yet support to see if it'd work, and as expected, ran into an error. Just curious to know roughly when or if Django 5 support is expected. Also, curious to know where vectordb.0001_initial is or how I could reset this since I'm still getting the error after rolling back...
Environment: Python 3.11, Windows 11, Django 5
Error running migrations:
Applying vectordb.0001_initial...Traceback (most recent call last):
File "C:\Users...\anaconda3\envs\studypt\Lib\site-packages\django\db\backends\utils.py", line 103, in _execute
return self.cursor.execute(sql)
^^^^^^^^^^^^^^^^^^^^^^^^
psycopg2.errors.InvalidForeignKey: there is no unique constraint matching given keys for referenced table "django_content_type"
Hi, I've tried installing on Django 5, which Django VectorDB doesn't yet support to see if it'd work, and as expected, ran into an error. Just curious to know roughly when or if Django 5 support is expected. Also, curious to know where vectordb.0001_initial is or how I could reset this since I'm still getting the error after rolling back...
Environment: Python 3.11, Windows 11, Django 5
Error running migrations: Applying vectordb.0001_initial...Traceback (most recent call last): File "C:\Users...\anaconda3\envs\studypt\Lib\site-packages\django\db\backends\utils.py", line 103, in _execute return self.cursor.execute(sql) ^^^^^^^^^^^^^^^^^^^^^^^^ psycopg2.errors.InvalidForeignKey: there is no unique constraint matching given keys for referenced table "django_content_type"