Doc review

Signed-off-by: Fanit Kolchina <[email protected]>

_ml-commons-plugin/api/connector-apis/update-connector.md

@@ -40,7 +40,7 @@ The following table lists the updatable fields. For more information about all c
 | `actions` | JSON array  | Defines which actions can run within the connector. If you're an administrator creating a connection, add the [blueprint]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/blueprints/) for your desired connection.                                                                                                                                                              |
 | `backend_roles` | JSON array  | A list of OpenSearch backend roles. For more information about setting up backend roles, see [Assigning backend roles to users]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-access-control#assigning-backend-roles-to-users).                                                                                                                                                        |
 | `access_mode` | String      | Sets the access mode for the model, either `public`, `restricted`, or `private`. Default is `private`. For more information about `access_mode`, see [Model groups]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-access-control#model-groups).                                                                                                                                        |
-| `parameters.skip_validating_missing_parameters`  | Boolean     | When set to `true`, skip validates any unfilled parameters when sending a request with the connector. Default is `false`.                                                                                                                                                                                                                                                                     |
+| `parameters.skip_validating_missing_parameters`  | Boolean     | When set to true, this option allows to send a request using a connector without validating any missing parameters. Default is `false`.                                                                                                                                                                                                                                                                     |
 
 
 

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

@@ -77,12 +77,11 @@ The `actions` parameter supports the following options.
 |:---|:---|:---|
 | `action_type` | String | Required. Sets the ML Commons API operation to use upon connection. As of OpenSearch 2.9, only `predict` is supported. |
 | `method`  | String | Required. Defines the HTTP method for the API call. Supports `POST` and `GET`. |
-| `url` | String      | Required. Sets the connection endpoint at which the action occurs. This must match the regex expression for the connection used when [adding trusted endpoint|
+| `url` | String      | Required. Sets the connection endpoint at which the action occurs. This must match the regex expression for the connection used when [adding trusted endpoints]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/index#adding-trusted-endpoints)|
 | `request_body` | String | Required. Sets the parameters contained in the request body of the action. The parameters must include `\"inputText\`, which specifies how users of the connector should construct the request payload for the `action_type`.  |
 | `pre_process_function`  | String | Optional. A built-in or custom Painless script used to preprocess the input data. OpenSearch provides the following built-in preprocess functions that you can call directly:<br> - `connector.pre_process.cohere.embedding` for [Cohere](https://cohere.com/) embedding models<br> - `connector.pre_process.openai.embedding` for [OpenAI](https://platform.openai.com/docs/guides/embeddings) embedding models <br> - `connector.pre_process.default.embedding`, which you can use to preprocess documents in neural search requests so that they are in the format that ML Commons can process with the default preprocessor (OpenSearch 2.11 or later). For more information, see [Built-in functions](#built-in-pre--and-post-processing-functions). |
-| `post_process_function` | String   | Optional. A built-in or custom Painless script used to post-process the model output data. OpenSearch provides the following built-in post-process functions s]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/index#adding-trusted-endpoints). |
-| `headers` | JSON object | Sets the headers used inside the request or response body. Default is `ContentType: application/json`. If your third-party ML tool requires access control, define the required `credential` parameters in the `headers` parameter. that you can call directly:<br> - `connector.pre_process.cohere.embedding` for [Cohere text embedding models](https://docs.cohere.com/reference/embed)<br> - `connector.pre_process.openai.embedding` for [OpenAI text embedding models](https://platform.openai.com/docs/api-reference/embeddings) <br> - `connector.post_process.default.embedding`, which you can use to post-process documents in the model response so that they are in the format that neural search expects (OpenSearch 2.11 or later). For more information, see [Built-in functions](#built-in-pre--and-post-processing-functions). |
-
+| `post_process_function` | String   | Optional. A built-in or custom Painless script used to post-process the model output data. OpenSearch provides the following built-in post-process functions that you can call directly:<br> - `connector.pre_process.cohere.embedding` for [Cohere text embedding models](https://docs.cohere.com/reference/embed)<br> - `connector.pre_process.openai.embedding` for [OpenAI text embedding models](https://platform.openai.com/docs/api-reference/embeddings) <br> - `connector.post_process.default.embedding`, which you can use to post-process documents in the model response so that they are in the format that neural search expects (OpenSearch 2.11 or later). For more information, see [Built-in functions](#built-in-pre--and-post-processing-functions). |
+| `headers` | JSON object | Sets the headers used in the request or response body. Default is `ContentType: application/json`. If your third-party ML tool requires access control, define the required `credential` parameters in the `headers` parameter. |
 
 The `client_config` parameter supports the following options.