From 82f16eb74ed99fdb62f306455787723793cea079 Mon Sep 17 00:00:00 2001 From: Kartik Gupta <84975264+kartik-gupta-ij@users.noreply.github.com> Date: Fri, 7 Jun 2024 14:32:27 +0530 Subject: [PATCH] Update qdrant-landing/content/articles/vector-similarity.md Co-authored-by: Andrey Vasnetsov --- qdrant-landing/content/articles/vector-similarity.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qdrant-landing/content/articles/vector-similarity.md b/qdrant-landing/content/articles/vector-similarity.md index 547999e7a..d66518e36 100644 --- a/qdrant-landing/content/articles/vector-similarity.md +++ b/qdrant-landing/content/articles/vector-similarity.md @@ -157,7 +157,7 @@ There are three quantization strategies you can choose from - scalar quantizatio **Security** -Qdrant offers several [security features](https://qdrant.tech/documentation/guides/security/) to help protect data and access to the vector store: +Qdrant offers several [security features](/documentation/guides/security/) to help protect data and access to the vector store: - API Key Authentication: This helps secure API access to Qdrant Cloud with static or read-only API keys. - 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).