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* Add multimodal search documentation Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Text image embedding processor Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add prerequisite Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Change query text Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Added bedrock connector tutorial and renamed ML TOC Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Name changes and rewording Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Change connector link Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Change link Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Implemented tech review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Link fix and field name fix Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add default text embedding preprocessing and post-processing functions Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add sparse search documentation Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Fix links Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Pre/post processing function tech review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Fix link Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Sparse search tech review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Apply suggestions from code review Co-authored-by: Melissa Vagi <vagimeli@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> * Implemented doc review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add actual test sparse pipeline response Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Added tested examples Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Added model choice for sparse search Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Remove Bedrock connector Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Implemented tech review feedback Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add that the model must be deployed to neural search Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Apply suggestions from code review Co-authored-by: Nathan Bower <nbower@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> * Link fix Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add session token to sagemaker blueprint Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Formatted bullet points the same way Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Specified both model types in neural sparse query Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Added more explanation for default pre/post-processing functions Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Remove framework and extensibility references Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Minor rewording Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> --------- Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Melissa Vagi <vagimeli@amazon.com> Co-authored-by: Nathan Bower <nbower@amazon.com>
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layout | title | nav_order | has_children | parent | grand_parent |
---|---|---|---|---|---|
default | Neural query enricher | 12 | false | Search processors | Search pipelines |
Neural query enricher processor
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 custom models within OpenSearch.
Request 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"
}
}
}
]
}
{% include copy-curl.html %}