84 lines
4.5 KiB
Markdown
84 lines
4.5 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 many features for customizing your search use cases and improving search relevance.
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## Search methods
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OpenSearch supports the following search methods:
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- **Traditional lexical search**
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- [Keyword (BM25) search]({{site.url}}{{site.baseurl}}/search-plugins/keyword-search/): Searches the document corpus for words that appear in the query.
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- **Machine learning (ML)-powered search**
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- **Vector search**
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- [k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/): Searches for k-nearest neighbors to a search term across an index of vectors.
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- **Neural search**: [Neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/) facilitates generating vector embeddings at ingestion time and searching them at search time. Neural search lets you integrate ML models into your search and serves as a framework for implementing other search methods. The following search methods are built on top of neural search:
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- [Semantic search]({{site.url}}{{site.baseurl}}/search-plugins/semantic-search/): Considers the meaning of the words in the search context. Uses dense retrieval based on text embedding models to search text data.
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- [Multimodal search]({{site.url}}{{site.baseurl}}/search-plugins/multimodal-search/): Uses multimodal embedding models to search text and image data.
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- [Sparse search]({{site.url}}{{site.baseurl}}/search-plugins/sparse-search/): Uses sparse retrieval based on sparse embedding models to search text data.
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- [Hybrid search]({{site.url}}{{site.baseurl}}/search-plugins/hybrid-search/): Combines traditional search and vector search to improve search relevance.
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- [Conversational search]({{site.url}}{{site.baseurl}}/search-plugins/conversational-search/): Implements a retrieval-augmented generative search.
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## Query languages
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In OpenSearch, you can use the following query languages to search your data:
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- [Query domain-specific language (DSL)]({{site.url}}{{site.baseurl}}/query-dsl/index/): The primary OpenSearch query language that supports creating complex, fully customizable queries.
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- [Query string query language]({{site.url}}{{site.baseurl}}/query-dsl/full-text/query-string/): A scaled-down query language that you can use in a query parameter of a search request or in OpenSearch Dashboards.
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- [SQL]({{site.url}}{{site.baseurl}}/search-plugins/sql/sql/index/): A traditional query language that bridges the gap between traditional relational database concepts and the flexibility of OpenSearch’s document-oriented data storage.
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- [Piped Processing Language (PPL)]({{site.url}}{{site.baseurl}}/search-plugins/sql/ppl/index/): The primary language used with observability in OpenSearch. PPL uses a pipe syntax that chains commands into a query.
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- [Dashboards Query Language (DQL)]({{site.url}}{{site.baseurl}}/dashboards/dql/): A simple text-based query language for filtering data in OpenSearch Dashboards.
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## Search performance
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OpenSearch offers several ways to improve search performance:
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- [Asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/): Runs resource-intensive queries asynchronously.
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- [Concurrent segment search]({{site.url}}{{site.baseurl}}/search-plugins/concurrent-segment-search/): Searches segments concurrently.
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## Search relevance
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OpenSearch provides the following search relevance features:
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- [Compare Search Results]({{site.url}}{{site.baseurl}}/search-plugins/search-relevance/compare-search-results/): A search comparison tool in OpenSearch Dashboards that you can use to compare results from two queries side by side.
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- [Querqy]({{site.url}}{{site.baseurl}}/search-plugins/querqy/): Offers query rewriting capability.
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## Search results
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OpenSearch supports the following commonly used operations on search results:
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- [Paginate]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/paginate/)
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- [Paginate with Point in Time]({{site.url}}{{site.baseurl}}/search-plugins/point-in-time/)
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- [Sort]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/sort/)
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- [Highlight search terms]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/highlight/)
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- [Autocomplete]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/autocomplete/)
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- [Did-you-mean]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/did-you-mean/)
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## Search pipelines
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You can process search queries and search results with [search pipelines]({{site.url}}{{site.baseurl}}/search-plugins/search-pipelines/index/).
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