Dear maintainers, if I understand correctly, Verba's local option makes use weaviate embedded. Which as of weaviate's documentation is still in experimental stages. Is it possible to migrate a vector database from weaviate embedded to the dockerized weaviate version?
Additional context
I have installed pip install weaviate-client in order to gain access to an embedded weaviate client, to perform a backup of my data following the basic tutorial.
import weaviate
from weaviate.embedded import EmbeddedOptions
import os
client = weaviate.WeaviateClient(
embedded_options=EmbeddedOptions(
additional_env_vars={
"ENABLE_MODULES": "backup-filesystem",
"BACKUP_FILESYSTEM_PATH": "/tmp/backups"
}
)
# Add additional options here (see Python client docs for syntax)
)
client.connect()
However I'm not sure where to proceed from there.
Thank you for your time.
Description
Dear maintainers, if I understand correctly, Verba's local option makes use weaviate embedded. Which as of weaviate's documentation is still in experimental stages. Is it possible to migrate a vector database from weaviate embedded to the dockerized weaviate version?
Additional context
I have installed
pip install weaviate-clientin order to gain access to an embedded weaviate client, to perform a backup of my data following the basic tutorial.However I'm not sure where to proceed from there. Thank you for your time.