From eae4efd4e6ad7574b7a542e76679c34a0e65265a Mon Sep 17 00:00:00 2001 From: David Myriel Date: Tue, 6 Feb 2024 19:11:46 +0100 Subject: [PATCH] intro sentences --- qdrant-landing/content/articles/multitenancy.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/qdrant-landing/content/articles/multitenancy.md b/qdrant-landing/content/articles/multitenancy.md index daa1fdd05..be46a6077 100644 --- a/qdrant-landing/content/articles/multitenancy.md +++ b/qdrant-landing/content/articles/multitenancy.md @@ -16,8 +16,7 @@ keywords: - vector database --- -Whether you're building a fraud-detection analytics app, a RAG solution for e-commerce sites, or a healthcare portal for the government - you need to leverage a multitenant architecture and ensure access to your data is controlled. In the world of SaaS and large-scale enterprise solutions, this setup is the norm and it will considerably increase performance and lower your hosting costs. A single Qdrant cluster can support all of your customers, but each one of them can only see their private data set. At times, if this data is location-sensitive, Qdrant gives you the option to divide your sincle cluster by region or other criteria. -In this way, we are ensuring that Qdrant can support you from a mere prototype all the way to a complete business solution. +Whether you're building a fraud-detection analytics app, a RAG solution for e-commerce sites, or a healthcare portal for the government - you need to leverage a multitenant architecture and ensure access to your data is controlled. In the world of SaaS and large-scale enterprise solutions, this setup is the norm and it will considerably increase performance and lower your hosting costs. A single Qdrant cluster has the potential to support all of your customers, while each one of them would only see their own data. At times, if this data is location-sensitive, Qdrant gives you the option to divide your cluster by region or other criteria. We are seeing the topics of multitenancy and distributed deployment pop-up daily on our [free support Discord](https://qdrant.to/discord) channel, which tells us that users are looking to scale Qdrant along with the rest of their ML setup. If you are currently mulling over your vector database implementation and are thinking of creating a multiple collections for each user, read on.