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.