SAS-1149: integrated feedback

Author: liamsommer-mx

content/en/docs/appstore/use-content/platform-supported-content/modules/genai/mendix-cloud-genai/Mx GenAI Connector.md

@@ -178,7 +178,7 @@ Dealing with knowledge bases involves two main stages:
 You do not need to manually add embeddings to a chunk, as the connector handles this internally. To see all existing knowledge bases for a configuration, go to the **Knowledge Base** tab on the [Mendix Cloud GenAI Configuration](#configuration) page and refresh the view on the right. Alternatively, use the `Get Collections` action to retrieve a synchronized list of collections inside of your knowledge base resource to include in your module. Lastly, you can delete a collection using the `Delete Collection` action.
 
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-The knowledge chunks are stored in an AWS OpenSearch Serverless database to ensure scalable and high performing vector calculations, for example to retrieve the nearest neighbors of a given input. Inserted or changed chunks are available for read operations in the knowledge base within 60-120 seconds (see [AWS documentation](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/serverless-vector-search.html#serverless-vector-limitations) for more details).
+The knowledge chunks are stored in an AWS OpenSearch Serverless database to ensure scalable and high performing vector calculations, for example to retrieve the nearest neighbors of a given input. Inserted or changed chunks are only available for read operations (retrieval) in the knowledge base within 60-120 seconds (see [AWS documentation](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/serverless-vector-search.html#serverless-vector-limitations) for more details).
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 #### Knowledge Base Insertion{#knowledge-base-insertion}