Merge pull request #234472 from MSFTeegarden/patch-23

Cleaned errors and added AI content

Author: prmerger-automator[bot]

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

@@ -16,7 +16,7 @@ With Azure Cache for Redis, you can use Redis modules as libraries to add more d
 
 For more information on creating an Enterprise cache, see [Quickstart: Create a Redis Enterprise cache](quickstart-create-redis-enterprise.md).
 
-Modules were introduced in open-source Redis 4.0. The modules extend the use-cases of Redis by adding functionality like search capabilities and data structures like **bloom and cuckoo filters**.
+Modules were introduced in open-source Redis 4.0. The modules extend the use-cases of Redis by adding functionality like search capabilities and data structures like bloom and cuckoo filters.
 
 ## Scope of Redis modules
 
@@ -78,16 +78,15 @@ Features include:
 - Geo-filtering
 - Boolean queries
 
-Additionally, **RediSearch** can function as a secondary index, expanding your cache beyond a key-value structure and offering more sophisticated queries.
+Additionally, **RediSearch** can function as a secondary index, expanding your cache beyond a key-value structure and offering more sophisticated queries. 
 
-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/docs/stack/search/).
+**RediSearch** also includes functionality to perform [vector similarity queries](https://redis.io/docs/stack/search/reference/vectors/) 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 additional use-cases, including real-time inventory, enterprise search, and in indexing external databases. [For more information, see the RediSearch documentation page](https://redis.io/docs/stack/search/).
 
 >[!IMPORTANT]
 > The RediSearch module can only be used with the `Enterprise` clustering policy. For more information, see [Clustering Policy](quickstart-create-redis-enterprise.md#clustering-policy).
 
->[!NOTE]
-> The RediSearch module is the only module that can be used with active geo-replication.
-
 ### RedisBloom
 
 RedisBloom adds four probabilistic data structures to a Redis server: **bloom filter**, **cuckoo filter**, **count-min sketch**, and **top-k**. Each of these data structures offers a way to sacrifice perfect accuracy in return for higher speed and better memory efficiency.