Update qdrant-landing/content/articles/vector-similarity.md

Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com>
This commit is contained in:
Kartik Gupta
2024-06-07 14:32:20 +05:30
committed by GitHub
co-authored by Andrey Vasnetsov
parent f6c36de0fe
commit cdbaafcb5f
@@ -163,7 +163,7 @@ Qdrant offers several [security features](https://qdrant.tech/documentation/guid
- JWT-Based Access Control: You can also enable more granular access control through JSON Web Tokens (JWT), and opt for restricted access to specific parts of the stored data while building Role-Based Access Control (RBAC).
- TLS Encryption: Additionally, you can enable TLS Encryption on data transmission to ensure security of data in transit.
To help with data sovereignty, Qdrant can be run in a [Hybrid Cloud](https://hybrid-cloud.qdrant.tech/) setup. Hybrid Cloud allows for seamless deployment and management of the vector database across various environments, and integrates Kubernetes clusters into a unified managed service. You can manage these clusters via Qdrant Cloud’s UI while maintaining control over your infrastructure and resources.
To help with data sovereignty, Qdrant can be run in a [Hybrid Cloud](/hybrid-cloud/) setup. Hybrid Cloud allows for seamless deployment and management of the vector database across various environments, and integrates Kubernetes clusters into a unified managed service. You can manage these clusters via Qdrant Cloud’s UI while maintaining control over your infrastructure and resources.
## **Optimizing Similarity Search Performance**