Merge pull request #1181 from qdrant/maddie-qdrant-patch-1

Update rag-is-dead.md

qdrant-landing/content/articles/rag-is-dead.md

@@ -85,10 +85,10 @@ Julien Simon from HuggingFace says it best:
 
 ## Get superior accuracy with Qdrant's vector database
 
-As LLMs continue to require enormous computing power, users will need to leverage vector search and [RAG](https://qdrant.tech/).
+As LLMs continue to require enormous computing power, users will need to leverage vector search and [RAG](https://qdrant.tech/rag/rag-evaluation-guide/).
 
 Our customers remind us of this fact every day. As a product, [our vector database](https://qdrant.tech/) is highly scalable and business-friendly. We develop our features strategically to follow our company’s Unix philosophy. 
 
 We want to keep Qdrant compact, efficient and with a focused purpose. This purpose is to empower our customers to use it however they see fit. 
 
-When large enterprises release their generative AI into production, they need to keep costs under control, while retaining the best possible quality of responses. Qdrant has the [vector search solutions](https://qdrant.tech/solutions/) to do just that. Revolutionize your vector search capabilities and get started with [a Qdrant demo](https://qdrant.tech/contact-us/).
+When large enterprises release their generative AI into production, they need to keep costs under control, while retaining the best possible quality of responses. Qdrant has the [vector search solutions](https://qdrant.tech/solutions/) to do just that. Revolutionize your vector search capabilities and get started with [a Qdrant demo](https://qdrant.tech/contact-us/).