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fix typo in vector database page (#2738)

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docs/advanced-ai/examples/understand-vector-databases.md
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@ -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})