Amazon OpenSearch Service Features

Ability to search across different data sources, such as databases, intranets, and applications. This feature was mentioned in 28 Amazon OpenSearch Service reviews.

Based on 28 Amazon OpenSearch Service reviews. Offers search for a variety of file types.

As reported in 26 Amazon OpenSearch Service reviews. Ability to search in multiple languages without any additional work required.

Ability of search to handle typos. This feature was mentioned in 28 Amazon OpenSearch Service reviews.

Allows the end user to filter and refine search results. 26 reviewers of Amazon OpenSearch Service have provided feedback on this feature.

Based on 26 Amazon OpenSearch Service reviews. Ability to define synonyms for search terms.

Allows the user to see highlighted results to see which words or phrases match the search query. 26 reviewers of Amazon OpenSearch Service have provided feedback on this feature.

Allows the user to search in a natural, intuitive manner. 28 reviewers of Amazon OpenSearch Service have provided feedback on this feature.

Based on 27 Amazon OpenSearch Service reviews. Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc. 27 reviewers of Amazon OpenSearch Service have provided feedback on this feature.

Ability to plug the search capabilities into other applications or tools. 29 reviewers of Amazon OpenSearch Service have provided feedback on this feature.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models

Enable the system to understand and interpret natural-language queries

Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications.

Ability to search in multiple languages without any additional work required.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results.

Ability of search to handle typos.

Ability to define synonyms for search terms.