fixed links

Author: flang-msft

articles/azure-cache-for-redis/cache-redis-modules.md

@@ -79,7 +79,7 @@ Features include:
 
 Additionally, **RediSearch** can function as a secondary index, expanding your cache beyond a key-value structure and offering more sophisticated queries.
 
-**RediSearch** also includes functionality to perform [vector similarity queries](https://redis.io/vector-search/) such as K-nearest neighbor (KNN) search. This feature allows Azure Cache for Redis to be used as a vector database, which is useful in AI use-cases like [semantic answer engines or any other application that requires the comparison of embeddings vectors](https://redis.com/blog/rediscover-redis-for-vector-similarity-search/) generated by machine learning models.
+**RediSearch** also includes functionality to perform [vector similarity queries](https://redis.io/solutions/vector-search/) such as K-nearest neighbor (KNN) search. This feature allows Azure Cache for Redis to be used as a vector database, which is useful in AI use-cases like [semantic answer engines or any other application that requires the comparison of embeddings vectors](https://redis.com/blog/rediscover-redis-for-vector-similarity-search/) generated by machine learning models.
 
 You can use **RediSearch** is used in a wide variety of use-cases, including real-time inventory, enterprise search, and in indexing external databases. [For more information, see the RediSearch documentation page](https://redis.io/search/).