
https://github.com/dullage/weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.
Deploy a fully managed Weaviate on elest.io if you want automated backups, reverse proxy with SSL termination, firewall, automated OS & Software updates, and a team of Linux experts and open source enthusiasts to ensure your services are always safe, and functional.
https://github.com/elestio-examples/weaviate/raw/main/deploy-on-elestio.png](https://dash.elest.io/deploy?source=cicd&social=dockerCompose&url=https://github.com/elestio-examples/weaviate)
You can deploy it easily with the following command:
git clone https://github.com/elestio-examples/weaviate.git
Copy the .env file from tests folder to the project directory
cp ./tests/.env ./.env
Edit the .env file with your own values.
Create data folders with correct permissions
mkdir -p ./weaviate chown -R 1000:1000 ./weaviate
Run the project with the following command
docker-compose up -d
You can access the Web UI at: http://your-domain:8652
Here are some example snippets to help you get started creating a container.
version: '3.4' services: weaviate: image: elestio4test/weaviate:${SOFTWARE_VERSION_TAG} ports: - 172.17.0.1:8652:8080 restart: always environment: QUERY_DEFAULTS_LIMIT: ${QUERY_DEFAULTS_LIMIT} AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: ${AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED} PERSISTENCE_DATA_PATH: ${PERSISTENCE_DATA_PATH} CLUSTER_HOSTNAME: ${CLUSTER_HOSTNAME} DEFAULT_VECTORIZER_MODULE: ${DEFAULT_VECTORIZER_MODULE} ENABLE_MODULES: ${ENABLE_MODULES} COHERE_APIKEY: ${COHERE_APIKEY} TRANSFORMERS_INFERENCE_API: ${TRANSFORMERS_INFERENCE_API} volumes: - ./weaviate:/var/lib/weaviate t2v-transformers: image: semitechnologies/transformers-inference:sentence-transformers-msmarco-distilroberta-base-v2 environment: ENABLE_CUDA: ${ENABLE_CUDA} # set to 1 to enable
| Variable | Value (example) |
|---|---|
| SOFTWARE_VERSION_TAG | latest |
| QUERY_DEFAULTS_LIMIT | 10 |
| AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED | true |
| PERSISTENCE_DATA_PATH | /path |
| CLUSTER_HOSTNAME | your-cluster-name |
| DEFAULT_VECTORIZER_MODULE | text2vec-cohere |
| ENABLE_MODULES | text2vec-cohere |
| COHERE_APIKEY | your-cohere-api-key |
| TRANSFORMERS_INFERENCE_API | api |
| ENABLE_CUDA | 0 |
The Elestio Weaviate Docker image sends the container logs to stdout. To view the logs, you can use the following command:
docker-compose logs -f
To stop the stack you can use the following command:
docker-compose down
To make backup and restore operations easier, we are using folder volume mounts. You can simply stop your stack with docker-compose down, then backup all the files and subfolders in the folder near the docker-compose.yml file.
Creating a ZIP Archive For example, if you want to create a ZIP archive, navigate to the folder where you have your docker-compose.yml file and use this command:
zip -r myarchive.zip .
Restoring from ZIP Archive To restore from a ZIP archive, unzip the archive into the original folder using the following command:
unzip myarchive.zip -d /path/to/original/folder
Starting Your Stack Once your backup is complete, you can start your stack again with the following command:
docker-compose up -d
That's it! With these simple steps, you can easily backup and restore your data volumes using Docker Compose.
https://github.com/weaviate/weaviate
Weaviate documentation
https://github.com/elestio-examples/weaviate



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