a87fdc0f63
* Add analyzer documentation Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add index and search analyzer pages Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Doc 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> * More doc review comments 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> * Implemented editorial comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Update index-analyzers.md Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.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>
1.9 KiB
| layout | title | nav_order | has_children | has_toc | nav_exclude |
|---|---|---|---|---|---|
| default | Search | 1 | false | false | true |
Search
OpenSearch provides several features for customizing your search use cases and improving search relevance. In OpenSearch, you can:
-
Use SQL and Piped Processing Language (PPL) as alternatives to query domain-specific language (DSL) for searching data.
-
Run resource-intensive queries asynchronously with asynchronous search.
-
Search for k-nearest neighbors with k-NN search.
-
Abstract OpenSearch queries into search templates.
-
Integrate machine learning (ML) language models into your search workloads with neural search.
-
Compare search results to tune search relevance.
-
Use a dataset that is fixed in time to paginate results with Point in Time.
-
Paginate and sort search results, highlight search terms, and use the autocomplete and did-you-mean functionality.
-
Rewrite queries with Querqy.
-
Process search queries and search results with search pipelines.