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* Add multimodal search documentation Signed-off-by: Fanit Kolchina <[email protected]> * Text image embedding processor Signed-off-by: Fanit Kolchina <[email protected]> * Add prerequisite Signed-off-by: Fanit Kolchina <[email protected]> * Change query text Signed-off-by: Fanit Kolchina <[email protected]> * Added bedrock connector tutorial and renamed ML TOC Signed-off-by: Fanit Kolchina <[email protected]> * Name changes and rewording Signed-off-by: Fanit Kolchina <[email protected]> * Change connector link Signed-off-by: Fanit Kolchina <[email protected]> * Change link Signed-off-by: Fanit Kolchina <[email protected]> * Implemented tech review comments Signed-off-by: Fanit Kolchina <[email protected]> * Link fix and field name fix Signed-off-by: Fanit Kolchina <[email protected]> * Add default text embedding preprocessing and post-processing functions Signed-off-by: Fanit Kolchina <[email protected]> * Add sparse search documentation Signed-off-by: Fanit Kolchina <[email protected]> * Fix links Signed-off-by: Fanit Kolchina <[email protected]> * Pre/post processing function tech review comments Signed-off-by: Fanit Kolchina <[email protected]> * Fix link Signed-off-by: Fanit Kolchina <[email protected]> * Sparse search tech review comments Signed-off-by: Fanit Kolchina <[email protected]> * Apply suggestions from code review Co-authored-by: Melissa Vagi <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> * Implemented doc review comments Signed-off-by: Fanit Kolchina <[email protected]> * Add actual test sparse pipeline response Signed-off-by: Fanit Kolchina <[email protected]> * Added tested examples Signed-off-by: Fanit Kolchina <[email protected]> * Added model choice for sparse search Signed-off-by: Fanit Kolchina <[email protected]> * Remove Bedrock connector Signed-off-by: Fanit Kolchina <[email protected]> * Implemented tech review feedback Signed-off-by: Fanit Kolchina <[email protected]> * Add that the model must be deployed to neural search Signed-off-by: Fanit Kolchina <[email protected]> * Apply suggestions from code review Co-authored-by: Nathan Bower <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> * Link fix Signed-off-by: Fanit Kolchina <[email protected]> * Add session token to sagemaker blueprint Signed-off-by: Fanit Kolchina <[email protected]> * Formatted bullet points the same way Signed-off-by: Fanit Kolchina <[email protected]> * Specified both model types in neural sparse query Signed-off-by: Fanit Kolchina <[email protected]> * Added more explanation for default pre/post-processing functions Signed-off-by: Fanit Kolchina <[email protected]> * Remove framework and extensibility references Signed-off-by: Fanit Kolchina <[email protected]> * Minor rewording Signed-off-by: Fanit Kolchina <[email protected]> --------- Signed-off-by: Fanit Kolchina <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> Co-authored-by: Melissa Vagi <[email protected]> Co-authored-by: Nathan Bower <[email protected]>
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layout, title, has_children, nav_order, has_toc
| layout | title | has_children | nav_order | has_toc |
|---|---|---|---|---|
| default | Specialized queries | true | 65 | false |
Specialized queries
OpenSearch supports the following specialized queries:
-
distance_feature: Calculates document scores based on the dynamically calculated distance between the origin and a document'sdate,date_nanos, orgeo_pointfields. This query can skip non-competitive hits. -
more_like_this: Finds documents similar to the provided text, document, or collection of documents. -
neural: Used for vector field search in neural search. -
neural_sparse: Used for vector field search in sparse neural search. -
percolate: Finds queries (stored as documents) that match the provided document. -
rank_feature: Calculates scores based on the values of numeric features. This query can skip non-competitive hits. -
script: Uses a script as a filter. -
script_score: Calculates a custom score for matching documents using a script. -
wrapper: Accepts other queries as JSON or YAML strings.