diff --git a/qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md b/qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md
index 018af3531..837f34115 100644
--- a/qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md
+++ b/qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md
@@ -142,7 +142,7 @@ Lambda](https://aws.amazon.com/lambda/?c=ser&sec=srv).
 
 In general, RAG connector has to expose a single endpoint that will accept POST requests with `query` parameter and 
 return the matching documents as JSON document with a specific structure. Our FastAPI implementation created [in the
-related tutorial](../tutorials/cohere-rag-connector/) is a perfect fit for this task. The only difference is that you
+related tutorial](../cohere-rag-connector/) is a perfect fit for this task. The only difference is that you
 should point it to the Cohere models and Qdrant running on AWS infrastructure.
 
 > Our connector is a lightweight web service that exposes a single endpoint and glues the Cohere embedding model with