Neural query enricher processor
Introduced 2.11
The neural_query_enricher
search request processor is designed to set a default machine learning (ML) model ID at the index or field level for neural search queries. To learn more about ML models, see Using ML models within OpenSearch and Connecting to remote models.
Request body fields
The following table lists all available request fields.
Field | Data type | Description |
---|---|---|
default_model_id | String | The model ID of the default model for an index. Optional. You must specify at least one default_model_id or neural_field_default_id . If both are provided, neural_field_default_id takes precedence. |
neural_field_default_id | Object | A map of key-value pairs representing document field names and their associated default model IDs. Optional. You must specify at least one default_model_id or neural_field_default_id . If both are provided, neural_field_default_id takes precedence. |
tag | String | The processor’s identifier. Optional. |
description | String | A description of the processor. Optional. |
Example
The following example request creates a search pipeline with a neural_query_enricher
search request processor. The processor sets a default model ID at the index level and provides different default model IDs for two specific fields in the index:
PUT /_search/pipeline/default_model_pipeline
{
"request_processors": [
{
"neural_query_enricher" : {
"tag": "tag1",
"description": "Sets the default model ID at index and field levels",
"default_model_id": "u5j0qYoBMtvQlfhaxOsa",
"neural_field_default_id": {
"my_field_1": "uZj0qYoBMtvQlfhaYeud",
"my_field_2": "upj0qYoBMtvQlfhaZOuM"
}
}
}
]
}