DEV: minor updates per recent feedback spreadsheet

content/commands/acl-setuser/index.md

@@ -94,6 +94,8 @@ ACL rules are either words like "on", "off", "reset", "allkeys", or are
 special rules that start with a special character, and are followed by
 another string (without any space in between), like "+SET".
 
+For information on persisting ACLs, see the [ACL tutorial]({{< relref "/operate/oss_and_stack/management/security/acl" >}}#use-an-external-acl-file).
+
 The following documentation is a reference manual about the capabilities of this command, however our [ACL tutorial]({{< relref "/operate/oss_and_stack/management/security/acl" >}}) may be a more gentle introduction to how the ACL system works in general.
 
 ## ACL rules

content/commands/slowlog/index.md

@@ -23,6 +23,12 @@ syntax_fmt: SLOWLOG
 syntax_str: ''
 title: SLOWLOG
 ---
+The Redis Slow Log is a system to log queries that exceeded a specified execution time.
+The execution time does not include I/O operations like talking with the client, just the time needed to execute the command (this is the only stage of command execution where the thread is blocked and cannot serve other requests).
+
+A new entry is added to the slow log whenever a command exceeds the execution time threshold defined by the `slowlog-log-slower-than` configuration directive.
+
+The maximum number of entries in the slow log is governed by the `slowlog-max-len` configuration directive.
 This is a container command for slow log management commands.
 
-To see the list of available commands you can call [`SLOWLOG HELP`]({{< relref "/commands/slowlog-help" >}}).
+See [`SLOWLOG GET`]({{< relref "/commands/slowlog-get" >}}) for a description of what's stored in the Redis slow log. To see the list of available commands use the [`SLOWLOG HELP`]({{< relref "/commands/slowlog-help" >}}) command.

content/develop/get-started/vector-database.md

@@ -47,6 +47,8 @@ This free Redis Cloud database comes out of the box with all the Redis Stack fea
 
 You can alternatively use the [installation guides]({{< relref "/operate/oss_and_stack/install/install-stack/" >}}) to install Redis Stack on your local machine.
 
+You need to have the following features configured for your Redis server: JSON and search and query.
+
 ## Install the required Python packages
 
 The code examples are currently provided for Redis CLI and Python. For Python, you will need to create a virtual environment and install the following Python packages:

content/operate/redisinsight/install/install-on-desktop.md

@@ -28,6 +28,8 @@ It is also available on:
 - Flathub
 - [Docker Hub]({{< relref "/operate/redisinsight/install/install-on-docker" >}}).
 
+After installation, run the Redis Insight application in the same was as you would run other desktop applications.
+
 ## Build
 
 Alternatively, you can also build Redis Insight from source. See the [wiki](https://github.com/RedisInsight/RedisInsight#build) for instructions.

content/operate/redisinsight/install/install-on-docker.md

@@ -3,9 +3,7 @@ categories:
 - docs
 - operate
 - redisinsight
-description: 'How to install Redis Insight on Docker
-
-  '
+description: How to install Redis Insight on Docker
 linkTitle: Install on Docker
 title: Install on Docker
 weight: 2

content/operate/redisinsight/install/install-on-k8s.md

@@ -3,9 +3,7 @@ categories:
 - docs
 - operate
 - redisinsight
-description: 'How to install Redis Insight on Kubernetes
-
-  '
+description: How to install Redis Insight on Kubernetes
 linkTitle: Install on Kubernetes
 title: Install on Kubernetes
 weight: 3
@@ -263,7 +261,9 @@ kubectl apply -f redisinsight.yaml
 If the deployment will be exposed by a service whose name is 'redisinsight', set `RI_APP_HOST` and `RI_APP_PORT` environment variables to override the environment variables created by the service.
 {{< /alert >}}
 
-3. Once the deployment has been successfully applied and the deployment is complete, access Redis Insight. This can be accomplished by exposing the deployment as a K8s Service or by using port forwarding, as in the example below:
+## Run Redis Insight
+
+Once the deployment has been successfully applied and the deployment is complete, access Redis Insight. This can be accomplished by exposing the deployment as a K8s Service or by using port forwarding, as in the example below:
 
 ```sh
 kubectl port-forward deployment/redisinsight 5540