OpenSearch Features

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

Offers search for a variety of file types.

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

Ability of search to handle typos.

Allows the end user to filter and refine search results.

Ability to define synonyms for search terms.

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

Allows the user to search in a natural, intuitive manner.

Search for specific words or phrases within a document or database

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.

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze and gain insights into data in real-time

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

Software program that continuously adjusts its behavior based on observed data

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.

Orchestrates retrieval, reranking, and enrichment steps within RAG workflows

Optimizes chunk selection, context assembly, and grounding specifically for LLM consumption

Enables advanced tuning of lexical, semantic, and reranked retrieval strategies

Provides insights into query behavior, retrieval quality, and relevance performance

Ensures resilience through redundancy, failover, and recovery mechanisms

Manages embedding updates, re-indexing, and model version changes over time

Enables semantic search across text, images, audio, or video using embeddings

Allows teams to bring their own embedding models or LLM providers and change them without re-architecting

Supports near-real-time index updates as source data changes

Enriches content using chunking, metadata inference, entity extraction, or OCR during indexing

Enforces document-, field-, or metadata-level permissions during retrieval

Supports regional data controls, retention rules, and regulatory compliance

Tracks queries, retrieved content, and access decisions for compliance and debugging

Enables fine-grained control over ranking using rules, weights, feedback loops, or learning-to-rank models

Improves retrieval quality through query rewriting, semantic expansion, or intent detection

Supports multi-step retrieval pipelines where initial candidates are reranked using ML or LLM-based approaches

Adjusts retrieval and ranking based on user context, behavior, or application-level signals

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Import and export data to and from software applications

Track visitors'/audience's responses across web pages and other optimized content

Manage and store data in a database

Allow users to access multiple services after entering their login credentials once

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Application programming interface that allows for integration with other systems/databases

Allows users to manage data from a number of sources

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Form predictions based on past and present data/trends

Collect and maintain structured information that describes data or content

Create, save, and store files

Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc

Assemble applications and processes by dragging over and arranging pre-built components

Track and manage adherence to policies for any service, product, process, or supplier

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Compile and organize data into specific metrics

Autocompletion of a word or phrase that the user is typing

Intended to be used by online stores

A collection of customer information such as contact details, demographics, previous interactions, etc.

Create and manage digital catalog of products/services with their details, specifications, and price

See options for potential search queries within the system

Store, manage, and track all electronic documents in a centralized location

Define levels of authorization for access to specific files or systems

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Use AI to generate content in the form of text, images, videos, etc.

Create, manage and track all task activities and progression

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Search and filter data across systems to locate required information by entering keywords or certain criteria

Import, collect, and capture data from multiple sources

Graphical representation of data

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Designed for large businesses

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks