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Search relevance

Bridge the gap between your users’ intent and their search results 

OpenSearch search relevance helps ensure that users’ queries go beyond matching keywords, connecting their underlying intent with the most meaningful results. Whether searching across documents, databases, or products, OpenSearch enables you to accurately interpret what users are really looking for and surface results that reflect their true needs. 

By narrowing the gap between intent and outcome, OpenSearch transforms search into a smarter, more intuitive experience. 

Compare and evaluate your search results 

Rerank your search results by relevance 

Visualize search quality metrics with intuitive dashboards 

Deliver smarter, intent-driven search experiences

OpenSearch offers a rich set of tools to surface more relevant results by aligning closely with user intent. Its powerful relevance features and plugins adapt seamlessly to the structure and complexity of your data—whether you’re indexing product catalogs, logs, or unstructured documents. 

Designed for transparency and control, OpenSearch lets you fine-tune search behavior through customizable scoring, pipelines, and relevance testing. 

 Establish a strong foundation for building smarter, faster, and more adaptive search experiences that connect users to the right content, tailored to your organization’s unique data. 

Find out how OpenSearch helps deliver more relevant search results

A graphic depicting the search relevance cycle

Unlock better search relevance and get the full picture with User Behavior Insights

Most analytics tools fall short when it comes to measuring true search quality—they simply don’t capture the full picture. User Behavior Insights is a purpose-built suite within OpenSearch designed to close that gap, helping you collect rich data on how users interact with your search experience.

From real-time user behavior tracking to offline and online evaluation capabilities, this toolkit empowers you to run deeper analyses and continuously improve relevance and performance.

OpenSearch provides powerful tools for improving search relevance

Search results reranking 

Enhance search relevance and user experience by evaluating, rescoring,
and re
sorting search results.  

Query rewriting

Modify and transform queries at pre-execution time to improve search accuracy, relevance, or performance.

Search results comparison 

Evaluate results from two queries sidebyside using the OpenSearch Compare Search Results tool. 

Search relevance analytics solutions

Tools like User Behavior Insights and Search Relevance Workbench provide insights for fine-tuning relevance and delivering a smarter search experience.

Improve your search relevance with open and extensible community-supported resources

User Behavior Insights (UBI) 

An OpenSearch plugin for connecting queries with user behaviors to improve search relevance

Quergy 

A plugin for improving search engine precision, matching, and scoring. 

Search Relevance Workbench

A toolset that allows you to create the best search experience possible for your users.

Cross-encoder models 

Integrate pre-trained cross-encoder models for query reranking—or use your own custom model. 

Getting started with the Search Relevance Workbench

Explore the new search relevance features included in OpenSearch 3.x with an overview and demonstration of the Search Relevance Workbench from Berlin Buzzwords 2025.

Streamlining Search Quality: Search Relevance Workbench (YouTube)