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title: Search
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# 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)]({{site.url}}{{site.baseurl}}/search-plugins/sql/index/) as alternatives to [query domain-specific language (DSL)]({{site.url}}{{site.baseurl}}/query-dsl/) to search data.

- Run resource-intensive queries asynchronously with [asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/).

- Search for k-nearest neighbors with [k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/).

- Abstract OpenSearch queries into [search templates]({{site.url}}{{site.baseurl}}/search-plugins/search-template/).

- Integrate machine learning (ML) language models into your search workloads with [neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/).

- [Compare search results]({{site.url}}{{site.baseurl}}/search-plugins/search-relevance/) to tune search relevance.

- Use a dataset that is fixed in time to paginate results with [Point in Time]({{site.url}}{{site.baseurl}}/search-plugins/point-in-time/).

- [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.

- Rewrite queries with [Querqy]({{site.url}}{{site.baseurl}}/search-plugins/querqy/).

- Process search queries and search results with [search pipelines]({{site.url}}{{site.baseurl}}/search-plugins/search-pipelines/index/).