diff --git a/docs/advanced-ai/examples/understand-vector-databases.md b/docs/advanced-ai/examples/understand-vector-databases.md
index c1a9540c2..01bcabc3b 100644
--- a/docs/advanced-ai/examples/understand-vector-databases.md
+++ b/docs/advanced-ai/examples/understand-vector-databases.md
@@ -33,7 +33,7 @@ In practice, vectors are far more complex. A vector can range in size from tens
 
 ## Demonstrating the power of similarity search
 
-Qdrant provide [vector search demos](https://qdrant.tech/demo/){:target=_blank .external-link} to help users understand the power of vector databases. The [food discovery demo](https://food-discovery.qdrant.tech/){:target=_blank .external-link} shows how a vector store can help match pictures based on visual similarities.
+Qdrant provides [vector search demos](https://qdrant.tech/demo/){:target=_blank .external-link} to help users understand the power of vector databases. The [food discovery demo](https://food-discovery.qdrant.tech/){:target=_blank .external-link} shows how a vector store can help match pictures based on visual similarities.
 
 > This demo uses data from Delivery Service. Users may like or dislike the photo of a dish, and the app will recommend more similar meals based on how they look. It's also possible to choose to view results from the restaurants within the delivery radius. ([source](https://qdrant.tech/demo/){:target=_blank .external-link})