Associate a Smart Snippet model with a query pipeline

This is for:

Developer System Administrator

When a Coveo Machine Learning (Coveo ML) model has been created, it must be associated with a query pipeline to be effective in a search interface.

organization members with the required privileges can access the Machine learning tab of a query pipeline configuration page to manage Coveo ML model associations for that query pipeline.

Note

Query pipeline thesaurus and stop word rules aren’t applied to the query that’s used by the Smart Snippet model. The Smart Snippet model always uses the raw basic query expression (q) entered by the user without any transformations or modifications.

Associate a Smart Snippet model

  1. On the Query Pipelines (platform-ca | platform-eu | platform-au) page, click the query pipeline for which you want to associate the model, and then click Edit components in the Action bar.

  2. On the subpage that opens, select the Machine learning tab, and then in the upper-right corner, click Associate model.

  3. In the Model dropdown menu, select the desired model.

  4. On the right side, under Condition, you can select a query pipeline condition in the dropdown menu or create a new one.

  5. Click Associate model.

Edit a Smart Snippet model association

  1. On the Query Pipelines (platform-ca | platform-eu | platform-au) page, click the query pipeline for which you want to edit a model association, and then click Edit components in the Action bar.

  2. On the subpage that opens, select the Machine learning tab, click the desired model, and then click Edit in the Action bar.

  3. On the right side, under Condition, you can select a query pipeline condition in the dropdown menu or create a new one.

  4. Click Save.

Associate a Smart Snippet model via a JSON configuration

Advanced users may want to manage a model association via a JSON configuration to specify association parameters that don’t fit with the parameters available in the Administration Console.

  1. On the Query Pipelines (platform-ca | platform-eu | platform-au) page, click the query pipeline for which you want to associate a model, and then click Edit components in the Action bar.

  2. On the subpage that opens, select the Machine learning tab, and then in the upper-right corner, click dots, and select Associate a model in JSON view.

  3. On the Associate a Model subpage, in JSON view, replace the <Model_ID> placeholder with the actual ID of the model you want to associate with the pipeline (see Review model information).

  4. Click Associate model.

Edit a Smart Snippet model association via a JSON configuration

Advanced users may want to manage a model association via a JSON configuration to specify association parameters that don’t fit with the parameters available in the Administration Console.

  1. On the Query Pipelines (platform-ca | platform-eu | platform-au) page, click the query pipeline for which you want to edit a model association, and then click Edit components in the Action bar.

  2. On the Machine learning tab, double-click the desired model.

  3. If the Edit a Model Association subpage opens in JSON view, proceed to the next step. Otherwise, in the upper-right corner, click dots, click Switch to JSON view, and then click Switch to JSON view in the confirmation window.

  4. On the Edit a Model Association subpage, in JSON view, tune the JSON model association configuration as needed (see Model association parameters).

  5. Click Save.

Dissociate a model

  1. On the Query Pipelines (platform-ca | platform-eu | platform-au) page, click the query pipeline from which you want to dissociate a model, and then click Edit components in the Action bar.

  2. On the subpage that opens, select the Machine learning tab.

  3. Click the model you want to dissociate from the pipeline, and then click Dissociate in the Action bar.

Reorder model associations

The order in which models appear in the query pipeline Machine learning tab is only relevant when multiple models of the same type are present. If there are no duplicate model types in the list, the model order has no effect as each model will either execute or not based on its individual condition.

However, when multiple models of the same type are present, the models are evaluated sequentially from top to bottom. The first model with a satisfied condition is executed, and all subsequent models of the same type are ignored.

To reorder model associations in a query pipeline

  1. On the Query Pipelines (platform-ca | platform-eu | platform-au) page, click the query pipeline in which you want to reorder model associations, and then click Edit components in the Action bar.

  2. On the subpage that opens, select the Machine learning tab.

  3. Click the model whose position you want to change, and then use the Move up or Move down arrows in the Action bar to change the position of the model.

Reference

Model association parameters

You can use the following parameters when creating or editing a Coveo ML Smart Snippets model association.

id (string)

The unique identifier of the model association (automatically generated by the Coveo Search API).

Example: 62579f33-a505-4d07-b77d-545aefb2eea1

position (integer [int32])

The position of the model in the order of execution (see Reorder model associations).

Example: 8

modelId (string)

The unique identifier of the model (see Review model information).

Example: c7ab60e2-e6b8-41e8-be6a-ad5c8edc662e

modelDisplayName (string)

The name of the model as selected when creating the model. This field is automatically filled with the name of the Coveo ML model.

Example: MyModelName

modelEngine (string)

The ID of the Coveo ML model. This field is automatically filled with the ID of the Coveo ML model.

Example: mlquestionanswering

modelStatus (string)

The status of the model. This field is automatically generated according to the current ML model status.

Example: ONLINE

condition (string)

The unique identifier of the condition that must be satisfied for a request to be processed by the ML model.

Example: c7ab60e2-e6b8-41e8-be6a-ad5c8edc662e

conditionDefinition (string)

The QPL expression that indicates the condition defined for the model association (see Query Pipeline Language (QPL)). This field is automatically filled when a condition is specified.

Example: when $searchHub is \"internalSearch\"

cacheMaximumAge (string)

The maximum age of cached query results the ML model should accept, in the ISO-8601 format only including the seconds and milliseconds part.

For each incoming query to be processed by the ML model, if a result set for an identical previously made query is available in the cache and this result set isn’t older than the specified value, the ML model makes recommendations based on that cached query result set. Otherwise, the query is executed against the index.

Default: PT105

locale (string)

The locale of the current user. Adding a locale parameter to a model association allows Coveo ML to provide more relevant recommendations by taking into account the user’s language and regional preferences.

Example

The locale for a user in the United States would be: en-US.

Required privileges

By default, members with the required privileges can view and edit elements of the Models (platform-ca | platform-eu | platform-au) page.

The following table indicates the privileges required to use elements of the Models page and associated panels (see Manage privileges and Privilege reference).

Action Service - Domain Required access level

View model associations

Machine Learning - Models
Organization - Organization
Search - Query pipelines

View

Edit model associations

Organization - Organization
Machine Learning - Models

View

Search - Query pipelines

Edit