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<td>Application and Infrastructure Monitoring</td>
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<td>Security and Event Information Management</td>
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<td>Operational Health Tracking</td>
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<td>Fast, scalable full-text search</td>
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<td>Application and infrastructure monitoring</td>
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<td>Security and event information management</td>
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<td>Operational health tracking</td>
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</tr>
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<trstyle="text-align: left; vertical-align:top;">
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<td>Help users find the right information within your application, website, or data lake catalog. </td>
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<td>Easily store and analyze log data, and set automated alerts for underperformance.</td>
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<td>Easily store and analyze log data, and set automated alerts for performance issues.</td>
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<td>Centralize logs to enable real-time security monitoring and forensic analysis.</td>
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<td>Use observability logs, metrics, and traces to monitor your applications and business in real time.</td>
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<td>Use observability logs, metrics, and traces to monitor your applications in real time.</td>
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</tr>
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</tbody>
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</table>
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**Additional features and plugins:**
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## Key features
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OpenSearch provides several features to help index, secure, monitor, and analyze your data:
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OpenSearch has several features and plugins to help index, secure, monitor, and analyze your data. Most OpenSearch plugins have corresponding OpenSearch Dashboards plugins that provide a convenient, unified user interface.
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-[Anomaly detection]({{site.url}}{{site.baseurl}}/monitoring-plugins/ad/) - Identify atypical data and receive automatic notifications
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-[KNN]({{site.url}}{{site.baseurl}}/search-plugins/knn/) - Find “nearest neighbors” in your vector data
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-[Performance Analyzer]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/) - Monitor and optimize your cluster
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-[SQL]({{site.url}}{{site.baseurl}}/search-plugins/sql/index/) - Use SQL or a piped processing language to query your data
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-[Index State Management]({{site.url}}{{site.baseurl}}/im-plugin/) - Automate index operations
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-[ML Commons plugin]({{site.url}}{{site.baseurl}}/ml-commons-plugin/index/) - Train and execute machine-learning models
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-[Asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/) - Run search requests in the background
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-[Cross-cluster replication]({{site.url}}{{site.baseurl}}/replication-plugin/index/) - Replicate your data across multiple OpenSearch clusters
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-[Anomaly detection]({{site.url}}{{site.baseurl}}/monitoring-plugins/ad/) -- Identify atypical data and receive automatic notifications.
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-[SQL]({{site.url}}{{site.baseurl}}/search-plugins/sql/index/) -- Use SQL or a Piped Processing Language (PPL) to query your data.
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-[Index State Management]({{site.url}}{{site.baseurl}}/im-plugin/) -- Automate index operations.
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-[Search methods]({{site.url}}{{site.baseurl}}/search-plugins/knn/) -- From traditional lexical search to advanced vector and hybrid search, discover the optimal search method for your use case.
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-[Machine learning]({{site.url}}{{site.baseurl}}/ml-commons-plugin/index/) -- Integrate machine learning models into your workloads.
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-[Workflow automation]({{site.url}}{{site.baseurl}}/automating-configurations/index/) -- Automate complex OpenSearch setup and preprocessing tasks.
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-[Performance evaluation]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/) -- Monitor and optimize your cluster.
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-[Asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/) -- Run search requests in the background.
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-[Cross-cluster replication]({{site.url}}{{site.baseurl}}/replication-plugin/index/) -- Replicate your data across multiple OpenSearch clusters.
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## The secure path forward
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OpenSearch includes a demo configuration so that you can get up and running quickly, but before using OpenSearch in a production environment, you must [configure the Security plugin manually]({{site.url}}{{site.baseurl}}/security/configuration/index/) with your own certificates, authentication method, users, and passwords.
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OpenSearch includes a demo configuration so that you can get up and running quickly, but before using OpenSearch in a production environment, you must [configure the Security plugin manually]({{site.url}}{{site.baseurl}}/security/configuration/index/) with your own certificates, authentication method, users, and passwords. To get started, see [Getting started with OpenSearch security]({{site.url}}{{site.baseurl}}/getting-started/security/).
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ML Commons provides its own set of REST APIs. For more information, see [ML Commons API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/index/).
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## ML-powered search
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For information about available ML-powered search types, see [ML-powered search]({{site.url}}{{site.baseurl}}/search-plugins/index/#ml-powered-search).
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## Tutorials
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Using the OpenSearch ML framework, you can build various applications, from implementing conversational search to building your own chatbot. For more information, see [Tutorials]({{site.url}}{{site.baseurl}}/ml-commons-plugin/tutorials/index/).
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## Search methods
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OpenSearch supports the following search methods:
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OpenSearch supports the following search methods.
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-**Traditional lexical search**
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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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OpenSearch supports [keyword (BM25) search]({{site.url}}{{site.baseurl}}/search-plugins/keyword-search/), which searches the document corpus for words that appear in the query.
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-**Machine learning (ML)-powered search**
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### ML-powered search
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-**Vector search**
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OpenSearch supports the following machine learning (ML)-powered search methods:
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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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-**Vector search**
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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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-[k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/): Searches for the k-nearest neighbors to a search term across an index of vectors.
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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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-**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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-[Multimodal search]({{site.url}}{{site.baseurl}}/search-plugins/multimodal-search/): Uses multimodal embedding models to search text and image data.
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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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-[Neural sparse search]({{site.url}}{{site.baseurl}}/search-plugins/neural-sparse-search/): Uses sparse retrieval based on sparse 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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-[Hybrid search]({{site.url}}{{site.baseurl}}/search-plugins/hybrid-search/): Combines traditional search and vector search to improve search relevance.
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-[Neural sparse search]({{site.url}}{{site.baseurl}}/search-plugins/neural-sparse-search/): Uses sparse retrieval based on sparse embedding models to search text data.
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-[Conversational search]({{site.url}}{{site.baseurl}}/search-plugins/conversational-search/): Implements a retrieval-augmented generative search.
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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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