Zilliz

Zilliz is a managed cloud-native vector database designed for the billion scale. Zilliz offers many key features, such as:

Multiple indexing algorithms
Multiple distance metrics
Scalar filtering
Time travel searches
Rollback and with snapshots
Full RBAC
99.9% uptime
Separated storage and compute
Multi-language SDK's

Find more information here.

Self Hosted vs SaaS

Zilliz is a SaaS database, but offers an open-source solution, Milvus. Both options offer fast searches at the billion scale, but Zilliz handles data management for you. It automatically scales compute and storage resources and creates optimal indexes for your data. See the comparison here.

Deploying the Database

Zilliz Cloud is deployable in a few simple steps. First, create an account here. Once you have an account set up, follow the guide here to set up a database and get the parameters needed for this application.

Environment Variables:

Name	Required	Description
`DATASTORE`	Yes	Datastore name, set to `zilliz`
`BEARER_TOKEN`	Yes	Your secret token
`OPENAI_API_KEY`	Yes	Your OpenAI API key
`ZILLIZ_COLLECTION`	Optional	Zilliz collection name. Defaults to a random UUID
`ZILLIZ_URI`	Yes	URI for the Zilliz instance
`ZILLIZ_USER`	Yes	Zilliz username
`ZILLIZ_PASSWORD`	Yes	Zilliz password
`ZILLIZ_CONSISTENCY_LEVEL`	Optional	Data consistency level for the collection, defaults to `Bounded`

Running Zilliz Integration Tests

A suite of integration tests is available to verify the Zilliz integration. To run the tests, create a Zilliz database and update the environment variables.

Then, launch the test suite with this command:

bash

pytest ./tests/datastore/providers/zilliz/test_zilliz_datastore.py