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* 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>
33 lines
1.9 KiB
Markdown
33 lines
1.9 KiB
Markdown
---
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layout: default
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title: Search
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nav_order: 1
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has_children: false
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has_toc: false
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nav_exclude: true
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---
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# Search
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OpenSearch provides several features for customizing your search use cases and improving search relevance. In OpenSearch, you can:
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- Use [SQL and Piped Processing Language (PPL)]({{site.url}}{{site.baseurl}}/search-plugins/sql/index/) as alternatives to [query domain-specific language (DSL)]({{site.url}}{{site.baseurl}}/query-dsl/index/) for searching data.
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- Run resource-intensive queries asynchronously with [asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/).
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- Search for k-nearest neighbors with [k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/).
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- Abstract OpenSearch queries into [search templates]({{site.url}}{{site.baseurl}}/search-plugins/search-template/).
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- Integrate machine learning (ML) language models into your search workloads with [neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/).
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- [Compare search results]({{site.url}}{{site.baseurl}}/search-plugins/search-relevance/) to tune search relevance.
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- Use a dataset that is fixed in time to paginate results with [Point in Time]({{site.url}}{{site.baseurl}}/search-plugins/point-in-time/).
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- [Paginate]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/paginate/) and [sort]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/sort/) search results, [highlight]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/highlight/) search terms, and use the [autocomplete]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/autocomplete/) and [did-you-mean]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/did-you-mean/) functionality.
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- Rewrite queries with [Querqy]({{site.url}}{{site.baseurl}}/search-plugins/querqy/).
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- Process search queries and search results with [search pipelines]({{site.url}}{{site.baseurl}}/search-plugins/search-pipelines/index/).
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