Remove requirement to set only run on ML node to false for remote models (#5818)

* Remove requirement to set only run on ML node to false for remote models

Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>

* Add a note about external and local models integrated simultaneously

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

---------

Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

_ml-commons-plugin/index.md

@@ -13,7 +13,7 @@ The [ML Commons plugin](https://github.com/opensearch-project/ml-commons/) provi
 
 ## Integrating ML models
 
-For ML-model-powered search, you can use a pretrained model provided by OpenSearch, upload your own model to the OpenSearch cluster, or connect to a foundation model hosted on an external platform. 
+For ML-model-powered search, you can use a pretrained model provided by OpenSearch, upload your own model to the OpenSearch cluster, or connect to a foundation model hosted on an external platform. In OpenSearch version 2.9 and later, you can integrate local and external models simultaneously within a single cluster.
 
 For more information, see [Integrating ML models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/integrating-ml-models/).
 

_ml-commons-plugin/integrating-ml-models.md

@@ -26,14 +26,17 @@ To integrate an ML model into your search workflow, choose one of the following
 
         For information about uploading your model, see [Using ML models within OpenSearch]({{site.url}}{{site.baseurl}}/ml-commons-plugin/using-ml-models/).
 
-1. **Remote model**: This option allows you to connect to a model hosted on a third-party platform. It requires more setup but allows the use of models that are already hosted on a service other than OpenSearch.     
+1. **Externally hosted model**: This option allows you to connect to a model hosted on a third-party platform. It requires more setup but allows the use of models that are already hosted on a service other than OpenSearch.     
     
     To connect to an externally hosted model, you need to set up a connector:  
 
-    - For a walkthrough with detailed steps, see [Connecting to remote models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/index/).
+    - For a walkthrough with detailed steps, see [Connecting to externally hosted models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/index/).
     - For more information about supported connectors, see [Connectors]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/connectors/).
     - For information about creating your own connector, see [Connector blueprints]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/blueprints/).
 
+In OpenSearch version 2.9 and later, you can integrate local and external models simultaneously within a single cluster.
+{: .note}
+
 ## Tutorial
 
 For a step-by-step tutorial, see [Neural search tutorial]({{site.url}}{{site.baseurl}}/search-plugins/neural-search-tutorial/).

_ml-commons-plugin/remote-models/index.md

@@ -80,21 +80,6 @@ When access control is enabled, you can install the [Security plugin]({{site.url
 }
 ```
 
-### Node settings
-
-Externally hosted models that are deployed using connectors consume fewer resources. Therefore, you can deploy such models model on data nodes. To make sure that your model connection uses data nodes, set `plugins.ml_commons.only_run_on_ml_node` to `false`:
-
-```json
-PUT /_cluster/settings
-{
-    "persistent": {
-        "plugins.ml_commons.only_run_on_ml_node": false
-    }
-}
-
-```
-{% include copy-curl.html %}
-
 ## Step 1: Register a model group
 
 To register a model, you have the following options: