diff --git a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md
index 41674a871..1daf2b074 100644
--- a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md
+++ b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md
@@ -87,11 +87,11 @@ Additionally, we built comprehensive documentation tutorials on how to successfu
 - How to Deploy Qdrant Hybrid Cloud on AWS
 - How to Deploy Qdrant Hybrid Cloud on GCP
 - How to Deploy Qdrant Hybrid Cloud on Azure
-- How to Deploy Qdrant on Digital Ocean
+- How to Deploy Qdrant Hybrid Cloud on DigitalOcean
 - How to Deploy Qdrant on Oracle Cloud
 - How to Deploy Qdrant on Vultr
 - How to Deploy Qdrant on Scaleway
-- How to Deploy Qdrant on OVH Cloud
+- How to Deploy Qdrant on OVHcloud
 - How to Deploy Qdrant on STACKIT
 - How to Deploy Qdrant on Red Hat OpenShift
 - How to Deploy Qdrant on Linode
diff --git a/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md b/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md
index 59318c9d5..c0b909935 100644
--- a/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md
+++ b/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md
@@ -10,7 +10,7 @@ aliases:
 | Time: 90 min | Level: Advanced |[GitHub](https://github.com/qdrant/examples/blob/master/langchain-lcel-rag/Langchain-LCEL-RAG-Demo.ipynb)|    |
 |--------------|-----------------|--|----|
 
-In this tutorial, you will build a RAG system that combines blog content ingestino with the capabilities of semantic search. RAG enhances the generation of answers by retrieving relevant documents to aid the question-answering process. This setup showcases the integration of advanced search and AI language processing to improve information retrieval and generation tasks.
+In this tutorial, you will build a RAG system that combines blog content ingestion with the capabilities of semantic search. RAG enhances the generation of answers by retrieving relevant documents to aid the question-answering process. This setup showcases the integration of advanced search and AI language processing to improve information retrieval and generation tasks.
 
 A notebook for this tutorial is available on [GitHub](https://github.com/qdrant/examples/blob/master/langchain-lcel-rag/Langchain-LCEL-RAG-Demo.ipynb).
 
diff --git a/qdrant-landing/content/documentation/hybrid-cloud/_index.md b/qdrant-landing/content/documentation/hybrid-cloud/_index.md
index 4f70eb2d8..7084fd04b 100644
--- a/qdrant-landing/content/documentation/hybrid-cloud/_index.md
+++ b/qdrant-landing/content/documentation/hybrid-cloud/_index.md
@@ -13,7 +13,7 @@ With Qdrant Hybrid Cloud you can bring your own cloud and manage it via Qdrant C
 
 **Accessing Hybrid Cloud:** First, you will need to sign up for Hybrid Cloud. To do so, create a [Qdrant Cloud account](https://cloud.qdrant.io/login). You should get access to the Qdrant Cloud console. To activate Hybrid Cloud, go to the **Hybrid Cloud** tab. You will need to enter your **Company** and **Billing Information**. Then, you can request access.
 
-**Setup instructions:** To begin using Qdrant Hybrid Cloud, [read our installation guide](/documentation/hybrid-cloud/hybrid-cloud-setup).
+**Setup instructions:** To begin using Qdrant Hybrid Cloud, [read our installation guide](/documentation/hybrid-cloud/hybrid-cloud-setup/).
 
 ## Upcoming roadmap items