48 lines
2.1 KiB
Markdown
48 lines
2.1 KiB
Markdown
---
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layout: default
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title: Neural query enricher
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nav_order: 12
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has_children: false
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parent: Search processors
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grand_parent: Search pipelines
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---
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# Neural query enricher processor
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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]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/) queries. To learn more about ML models, see [Using ML models within OpenSearch]({{site.url}}{{site.baseurl}}/ml-commons-plugin/using-ml-models/) and [Connecting to remote models]({{site.url}}{{site.baseurl}}ml-commons-plugin/remote-models/index/).
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## Request fields
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The following table lists all available request fields.
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Field | Data type | Description
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:--- | :--- | :---
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`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.
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`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.
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`tag` | String | The processor's identifier. Optional.
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`description` | String | A description of the processor. Optional.
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## Example
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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:
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```json
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PUT /_search/pipeline/default_model_pipeline
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{
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"request_processors": [
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{
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"neural_query_enricher" : {
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"tag": "tag1",
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"description": "Sets the default model ID at index and field levels",
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"default_model_id": "u5j0qYoBMtvQlfhaxOsa",
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"neural_field_default_id": {
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"my_field_1": "uZj0qYoBMtvQlfhaYeud",
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"my_field_2": "upj0qYoBMtvQlfhaZOuM"
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}
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}
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}
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]
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}
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```
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{% include copy-curl.html %}
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