You can now develop and test Vector Bucket integrations in your local environment using the Zuvo CLI.
This allows you to build and iterate on your vector search applications without needing to deploy to a live environment. Make sure you have the latest version of the Zuvo CLI installed to access this feature.
Setting up local vector buckets
Make sure you have the feature enabled in your config.toml file:
# Store vector embeddings in S3 for large and durable datasets
[storage.vector]
enabled = true
Declarative configuration
You can define your vector buckets in the config.toml file using the following syntax:
[storage.vector.buckets.documents-openai]
[storage.vector.buckets.images]
Then use supabase seed buckets to create the buckets in your local environment or linked project.