fix ml inference parameters description

_ingest-pipelines/processors/ml-inference.md

@@ -53,7 +53,7 @@ The following table lists the required and optional parameters for the `ml-infer
 |:--- | :--- | :--- | :--- |
 | `model_id` | String | Required | The ID of the ML model used by the processor. |
 | `function_name` | String    | Optional for externally hosted models<br/><br/>Required for local models | The function name of the ML model configured in the processor. For local models, valid values are `sparse_encoding`, `sparse_tokenize`, `text_embedding`, and `text_similarity`. For externally hosted models, valid value is `remote`. Default is `remote`. |
-| `model_config` | Object    | Optional   | Custom configuration options for the ML model. For more information, see [The `model_config` object]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/model-apis/register-model/#the-model_config-object). |
+| `model_config` | Object    | Optional   | Custom configuration options for the ML model. For remote models, if set, this overrides the default parameters in connectors. For local models, it can be added to model_input to override the model configuration set during registration.. For more information, see [The `model_config` object]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/model-apis/register-model/#the-model_config-object). |
 | `model_input`  | String    | Optional for externally hosted models<br/><br/>Required for local models | A template that defines the input field format expected by the model. Each local model type might use a different set of inputs. For externally hosted models, default is `"{ \"parameters\": ${ml_inference.parameters} }`.|
 | `input_map` | Array | Optional for externally hosted models<br/><br/>Required for local models | An array specifying how to map ingested document fields to the model input fields. Each element of the array is a map in the `"<model_input_field>": "<document_field>"` format and corresponds to one model invocation for a document field. If no input mapping is specified for an externally hosted model, then all fields from the document are passed to the model directly as input. The `input_map` size indicates the number of times the model is invoked (the number of Predict API requests). |
 | `<model_input_field>` | String    | Optional for externally hosted models<br/><br/>Required for local models  | The model input field name. |

_search-plugins/search-pipelines/ml-inference-search-request.md

@@ -57,7 +57,7 @@ The following table lists the required and optional parameters for the `ml-infer
 | `model_id`| String | Required | The ID of the ML model used by the processor. |
 | `query_template` | String   | Optional  | A query string template used to construct a new query containing a `new_document_field`. Often used when rewriting a search query to a new query type. |
 | `function_name` | String    | Optional for externally hosted models<br/><br/>Required for local models | The function name of the ML model configured in the processor. For local models, valid values are `sparse_encoding`, `sparse_tokenize`, `text_embedding`, and `text_similarity`. For externally hosted models, valid value is `remote`. Default is `remote`.   |
-| `model_config` | Object    | Optional   | Custom configuration options for the ML model. For more information, see [The `model_config` object]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/model-apis/register-model/#the-model_config-object).  |
+| `model_config` | Object    | Optional   | Custom configuration options for the ML model. For remote models, if set, this overrides the default parameters in connectors. For local models, it can be added to model_input to override the model configuration set during registration.. For more information, see [The `model_config` object]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/model-apis/register-model/#the-model_config-object).  |
 | `model_input` | String    | Optional for externally hosted models<br/><br/>Required for local models | A template that defines the input field format expected by the model. Each local model type might use a different set of inputs. For externally hosted models, default is `"{ \"parameters\": ${ml_inference.parameters} }`. |
 | `input_map` | Array | Required  | An array specifying how to map query string fields to the model input fields. Each element of the array is a map in the `"<model_input_field>": "<query_input_field>"` format and corresponds to one model invocation of a document field. If no input mapping is specified for an externally hosted model, then all document fields are passed to the model directly as input. The `input_map` size indicates the number of times the model is invoked (the number of Predict API requests). |
 | `<model_input_field>`  | String    | Required | The model input field name.  |
@@ -66,8 +66,8 @@ The following table lists the required and optional parameters for the `ml-infer
 | `<query_output_field>` | String    | Required | The name of the query field in which the model's output (specified by `model_output`) is stored.  |
 | `<model_output_field>` | String    | Required | The name or JSON path of the field in the model output to be stored in the `query_output_field`.  |
 | `full_response_path`   | Boolean   | Optional  | Set this parameter to `true` if the `model_output_field` contains a full JSON path to the field instead of the field name. The model output will then be fully parsed to get the value of the field. Default is `true` for local models and `false` for externally hosted models.  |
-| `ignore_missing`       | Boolean   | Optional  | If `true` and any of the input fields defined in the `input_map` or `output_map` are missing, then the missing fields are ignored. Otherwise, a missing field causes a failure. Default is `false`.  |
-| `ignore_failure` | Boolean   | Optional | Specifies whether the processor continues execution even if it encounters an error. If `true`, then any failure is ignored and the search continues. If `false`, then any failure causes the search to be canceled. Default is `false`.  |
+| `ignore_missing`       | Boolean   | Optional  | If `true` and any of the input fields defined in the `input_map` or `output_map` are missing, then this processor is ignored. Otherwise, a missing field causes a failure. Default is `false`.  |
+| `ignore_failure` | Boolean   | Optional | Specifies whether the processor continues execution even if it encounters an error. If `true`, then this processor is ignored and the search continues. If `false`, then any failure causes the search to be canceled. Default is `false`.  |
 | `max_prediction_tasks` | Integer   | Optional  | The maximum number of concurrent model invocations that can run during query search. Default is `10`.  |
 | `description`          | String    | Optional   | A brief description of the processor.  |
 | `tag`                  | String    | Optional | An identifier tag for the processor. Useful for debugging to distinguish between processors of the same type.  |

_search-plugins/search-pipelines/ml-inference-search-response.md

@@ -56,7 +56,7 @@ The following table lists the required and optional parameters for the `ml-infer
 |:--| :--- | :--- |:---|
 | `model_id` | String | Required | The ID of the ML model used by the processor. |
 | `function_name`        | String    | Optional for externally hosted models<br/><br/>Required for local models | The function name of the ML model configured in the processor. For local models, valid values are `sparse_encoding`, `sparse_tokenize`, `text_embedding`, and `text_similarity`. For externally hosted models, valid value is `remote`. Default is `remote`. |
-| `model_config`         | Object    | Optional   | Custom configuration options for the ML model. For more information, see [The `model_config` object]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/model-apis/register-model/#the-model_config-object).|
+| `model_config`         | Object    | Optional   | Custom configuration options for the ML model. For remote models, if set, this overrides the default parameters in connectors. For local models, it can be added to model_input to override the model configuration set during registration. For more information, see [The `model_config` object]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/model-apis/register-model/#the-model_config-object).|
 | `model_input`          | String    | Optional for externally hosted models<br/><br/>Required for local models | A template that defines the input field format expected by the model. Each local model type might use a different set of inputs. For externally hosted models, default is `"{ \"parameters\": ${ml_inference.parameters} }`. |
 | `input_map`            | Array | Optional for externally hosted models<br/><br/>Required for local models | An array specifying how to map document fields in the search response to the model input fields. Each element of the array is a map in the `"<model_input_field>": "<document_field>"` format and corresponds to one model invocation of a document field. If no input mapping is specified for an externally hosted model, then all document fields are passed to the model directly as input. The `input_map` size indicates the number of times the model is invoked (the number of Predict API requests). |
 | `<model_input_field>`  | String    | Optional for externally hosted models<br/><br/>Required for local models  | The model input field name. |
@@ -65,8 +65,8 @@ The following table lists the required and optional parameters for the `ml-infer
 | `<new_document_field>` | String    | Optional for externally hosted models<br/><br/>Required for local models | The name of the new field in the document in which the model's output (specified by `model_output`) is stored. If no output mapping is specified for externally hosted models, then all fields from the model output are added to the new document field.  |
 | `<model_output_field>` | String    | Optional for externally hosted models<br/><br/>Required for local models | The name or JSON path of the field in the model output to be stored in the `new_document_field`.  |
 | `full_response_path`   | Boolean   | Optional   | Set this parameter to `true` if the `model_output_field` contains a full JSON path to the field instead of the field name. The model output will then be fully parsed to get the value of the field. Default is `true` for local models and `false` for externally hosted models.  |
-| `ignore_missing`       | Boolean   | Optional  | If `true` and any of the input fields defined in the `input_map` or `output_map` are missing, then the missing fields are ignored. Otherwise, a missing field causes a failure. Default is `false`. |
-| `ignore_failure`       | Boolean   | Optional  | Specifies whether the processor continues execution even if it encounters an error. If `true`, then any failure is ignored and the search continues. If `false`, then any failure causes the search to be canceled. Default is `false`. |
+| `ignore_missing`       | Boolean   | Optional  | If `true` and any of the input fields defined in the `input_map` or `output_map` are missing, then this processor is ignored. Otherwise, a missing field causes a failure. Default is `false`. |
+| `ignore_failure`       | Boolean   | Optional  | Specifies whether the processor continues execution even if it encounters an error. If `true`, then this processor is ignored and the search continues. If `false`, then any failure causes the search to be canceled. Default is `false`. |
 | `override`             | Boolean   | Optional   | Relevant if a document in the response already contains a field with the name specified in `<new_document_field>`. If `override` is `false`, then the input field is skipped. If `true`, then the existing field value is overridden by the new model output. Default is `false`.  |
 | `max_prediction_tasks` | Integer   | Optional  | The maximum number of concurrent model invocations that can run during document search. Default is `10`.  |
 | `one_to_one`           | Boolean    | Optional  | Set this parameter to `true` to invoke the model once (make one Predict API request) for each document. Default value (`false`) specifies to invoke the model with all documents from the search response, making one Predict API request. |