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216acf545f
- Partition configuration for indexing local data based on user accounts - Store indexed data in an underlying postgres db using the `pgvector` extension - Add migrations for all relevant user data and embeddings generation. Very little performance optimization has been done for the lookup time - Apply filters using SQL queries - Start removing many server-level configuration settings - Configure GitHub test actions to run during any PR. Update the test action to run in a containerized environment with a DB. - Update the Docker image and docker-compose.yml to work with the new application design
11 lines
224 B
Python
11 lines
224 B
Python
from django.db import migrations
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from pgvector.django import VectorExtension
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class Migration(migrations.Migration):
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dependencies = [
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("database", "0002_googleuser"),
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]
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operations = [VectorExtension()]
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