From 8edc73adee3fbcc8ffa34c6968984adcd69983c8 Mon Sep 17 00:00:00 2001 From: daniel-azoulai Date: Tue, 8 Jul 2025 13:33:48 -0700 Subject: [PATCH] Update case-study-gooddata.md --- qdrant-landing/content/blog/case-study-gooddata.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/qdrant-landing/content/blog/case-study-gooddata.md b/qdrant-landing/content/blog/case-study-gooddata.md index b16657b07..6ba4a7320 100644 --- a/qdrant-landing/content/blog/case-study-gooddata.md +++ b/qdrant-landing/content/blog/case-study-gooddata.md @@ -40,7 +40,7 @@ GoodData transitioned to a Retrieval-Augmented Generation (RAG) strategy, requir GoodData leveraged Qdrant’s official Helm chart, deploying smoothly in Kubernetes and efficiently managing near-real-time embedding updates, crucial for multilingual semantic layers. -![Old Approach][/blog/case-study-gooddata-diagram-1.png] +![Old Approach](/blog/case-study-gooddata-diagram-1.png) ### Real-Time Performance and Scalability Gains @@ -67,7 +67,7 @@ This shift positions GoodData not just as a dashboard provider, but as a foundat Qdrant provides GoodData a stable, scalable foundation for expanding into document-based semantic search and ontology management. With Qdrant, GoodData confidently supports complex, real-time AI use cases, enhancing end-user accessibility and productivity. -![New Approach][/blog/case-study-gooddata-diagram-2.png] +![New Approach](/blog/case-study-gooddata-diagram-2.png) ***Architecture to enable real-time monitoring and AI-driven search capabilities in Kubernetes environment.***