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Enterprise AI Search

Enterprise AI Search Reviews and Ratings

What is Enterprise AI Search?

Gartner defines enterprise AI search as platforms that enable retrieval and synthesis of information across enterprise repositories. They are a key technology for developing AI assistants and AI agents that scale to enterprise needs using retrieval-augmented generation (RAG). They integrate with a wide range of advanced natural language processing (NLP), machine learning (ML) and large language model (LLM) technologies that are essential to knowledge management processes. They are designed to be customized and tuned for specific domains but often come with prepackaged integrations and experiences for some enterprise applications.

Enterprise AI search tools are pivotal tools for humans and machines that need to find information and synthesize it to derive insight, so they can subsequently make decisions and take actions. These platforms connect to a wide variety of data sources, normalize and classify information, index it, and match and rank the most relevant results. Their user experiences are commonly customized and are increasingly used as a platform for building AI assistants for a wide variety of operational use cases. Those building RAG-based systems should consider how to configure enterprise search platforms to deliver AI assistants and, in the future, AI agents.

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Logo of SharePoint 2013 (Legacy)

SharePoint 2013 (Legacy)

By Microsoft

4.2
(428 Ratings)

SharePoint 2013 is a software developed by Microsoft that enables organizations to manage, share, and collaborate on documents and information within a centralized platform. The software offers features such as document libraries, workflow automation, enterprise content management, and team sites for collaboration. Users can create, organize, and access files, as well as track version history and permissions. SharePoint 2013 integrates with other productivity software, supports business process automation through custom workflows, and provides tools for search and content discovery. The software is designed to address challenges related to information sharing, data management, and collaborative work across teams and departments within an organization.

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Logo of Elastic Search

Elastic Search

By Elastic

4.4
(316 Ratings)

Elastic Search is a software that enables full-text search, structured search, and analytics across diverse data types. It is designed to index, search, and analyze large volumes of data quickly and in near real time. The software supports a distributed architecture for handling data across multiple servers and provides RESTful APIs for integration with other applications. Elastic Search addresses business needs such as log and event data analysis, enterprise search, and operational monitoring by supporting scalable queries, aggregation, filtering, and data visualization. Its schema-free design allows for flexible data ingestion from various sources, making it suitable for varied use cases including search engines, application performance monitoring, and security analytics.

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Logo of SharePoint

SharePoint

By Microsoft

4.5
(267 Ratings)

SharePoint is a software developed by Microsoft designed to enable organizations to create, manage, and share content, knowledge, and applications for seamless collaboration. The software offers tools for document management, workflow automation, secure information storage, and custom site creation. It allows users to organize and find information efficiently, facilitate team collaboration across departments, and integrate with other enterprise applications. SharePoint addresses business needs around centralizing resources, ensuring controlled access to sensitive data, maintaining document versioning, and supporting business process workflows to enhance productivity and reduce administrative overhead.

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Logo of Coveo AI‑Relevance Platform

Coveo AI‑Relevance Platform

By Coveo

4.5
(153 Ratings)

Coveo AI‑Relevance Platform is a software designed to enhance search, recommendation, and personalization capabilities across digital experiences. The software utilizes artificial intelligence and machine learning to analyze user interactions, delivering relevant content and insights in real time. It integrates with various data sources and business applications, allowing organizations to unify information and optimize access to knowledge. The platform addresses challenges related to information retrieval, supporting use cases such as website search, customer service, and workplace productivity. It aims to improve efficiency by enabling users to find accurate information quickly and supporting decision-making processes based on contextual understanding.

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Logo of Azure AI Search

Azure AI Search

By Microsoft

4.2
(144 Ratings)

Azure AI Search is a cloud-based software providing search-as-a-service capabilities that allow users to create, manage, and scale search experiences for web and enterprise applications. The software enables integration of search functionality with artificial intelligence features such as language understanding, image recognition, and natural language processing, aiding in extracting relevant information from a variety of data sources including documents, databases, and media. Azure AI Search supports indexing and querying unstructured and structured data, provides cognitive skills to enrich content, and offers features for filtering, sorting, and faceting results. This software addresses business challenges related to information retrieval, content discovery, and knowledge management, facilitating efficient access to data across diverse datasets.

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Logo of Glean

Glean

By Glean

4.4
(115 Ratings)

Glean is a software designed to enable efficient workplace search and information discovery by integrating with various business applications. The software leverages artificial intelligence to process and organize data from sources such as email, documents, and knowledge bases, supporting users in finding relevant information quickly. Features include unified search across connected tools, contextual results, access controls, and workflow support for knowledge management. Glean addresses the challenge organizations face in locating and retrieving distributed data, promoting productivity by simplifying access to necessary resources while maintaining security and compliance.

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Logo of IBM Watson Discovery

IBM Watson Discovery

By IBM

4.6
(85 Ratings)

IBM Watson Discovery is a software designed to help organizations extract insights from large volumes of unstructured data. The software applies natural language processing and machine learning to analyze documents, webpages, and other text data, enabling the identification of relevant information and trends. Watson Discovery supports customizable data connectors, advanced search functions, and the ability to build question-answering systems, facilitating knowledge discovery and data-driven decision-making. This software addresses business challenges related to information retrieval and organizational knowledge management by enabling users to efficiently search, classify, and understand complex data sources.

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Logo of Microsoft Search

Microsoft Search

By Microsoft

4.4
(84 Ratings)

Microsoft Search is a software that enables users to find information, files, people, and resources across Microsoft 365 applications and services. Integrated into tools such as Outlook, SharePoint, OneDrive, and Microsoft Teams, the software provides a unified search experience within an organization’s digital environment. It supports the discovery of documents, emails, sites, and conversations, helping users efficiently locate the data needed to perform daily tasks. The software leverages artificial intelligence to interpret search intent and deliver relevant results, contributing to streamlined information management and improved productivity by addressing the challenge of information retrieval within complex enterprise systems.

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Lucidworks Platform

By Lucidworks

4.4
(82 Ratings)

Lucidworks Platform is a software designed to manage, search, and analyze large volumes of data from diverse digital sources. The software provides organizations with tools to build search and discovery applications that enable users to access relevant information efficiently. It integrates capabilities such as data ingestion, indexing, natural language processing, and real-time analytics. Lucidworks Platform offers features for customizing search relevance and applies machine learning to optimize search results based on user interactions. The software supports deployments on cloud or on-premises environments and is used to address business challenges related to data discovery, knowledge management, and information retrieval in complex data ecosystems.

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Logo of iFinder

iFinder

By IntraFind

4.6
(58 Ratings)

iFinder is a software developed to provide enterprise search and information retrieval capabilities for organizations. The software enables users to search, index, and retrieve data from a wide range of sources, including documents, emails, databases, and websites. iFinder supports advanced features such as semantic search, natural language processing, and machine learning to enhance the accuracy and relevance of search results. The software is designed to help businesses manage and access large volumes of structured and unstructured data, facilitating better decision-making and increasing productivity by reducing the time spent searching for information. iFinder integrates with various existing systems to ensure comprehensive data coverage and secure access controls, addressing the business need for efficient information management and streamlined workflows.

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Logo of Sinequa Platform

Sinequa Platform

By Sinequa

4.2
(58 Ratings)

Sinequa Platform is an enterprise search software designed to enable organizations to access, analyze, and gain insight from large volumes of structured and unstructured data. The software integrates data from various repositories, enhancing information discovery across applications and sources. It provides natural language processing, text mining, and advanced analytics capabilities to surface relevant content and improve decision-making processes. The software addresses challenges related to data fragmentation and knowledge management by delivering unified search experiences and contextual information, supporting productivity and operational efficiency in complex environments.

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Logo of Mindbreeze InSpire

Mindbreeze InSpire

By Mindbreeze

4.7
(47 Ratings)

Mindbreeze InSpire is an enterprise search software designed to facilitate information access across disparate data sources within organizations. The software utilizes artificial intelligence and machine learning algorithms to process, index, and retrieve structured and unstructured data from various platforms, including intranets, cloud environments, databases, and document management systems. Mindbreeze InSpire features semantic analysis and natural language processing to deliver relevant search results and knowledge insights. The software addresses business challenges related to data discovery, compliance, and productivity by enabling users to efficiently locate information required for decision-making and workflow optimization. Mindbreeze InSpire also supports integrations with applications, scalability for large datasets, and security protocols for controlled data access.

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Logo of Google Search Appliance (Legacy)

Google Search Appliance (Legacy)

By Google

4.5
(42 Ratings)

Google Search Appliance is an enterprise search software that enables organizations to index and search internal documents and data across various repositories. The software integrates with different content management systems, databases, and file systems to provide users with search results based on relevance and access permissions. It supports multiple file formats and offers features such as advanced search queries, filtering, and result customization. Google Search Appliance is designed to address the business need for efficient information retrieval by streamlining access to organizational knowledge stored in disparate locations. The software was intended for deployment within organizational infrastructure to support secure and scalable search capabilities.

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Logo of Squirro Enterprise GenAI Platform

Squirro Enterprise GenAI Platform

By Squirro

4.2
(36 Ratings)

Squirro's enterprise search reduces search time and increases efficiency. Squirro connects to unlimited data sources, providing a unified search experience. Key features include advanced search, document summarization, structured data results, enabling faster insights and better decision-making. Squirro ensures data sovereignty with flexible deployment options - public cloud, on-premise - while maintaining stringent access control lists (ACLs) for security. Squirro is suitable for regulated industries.

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Logo of Yext Digital Presence Platform

Yext Digital Presence Platform

By Yext

4.3
(32 Ratings)

Yext Search is a hosted search engine that uses AI and natural language understanding to provide business answers for users in real time. Yext Search provides the tools businesses need to answer users’ questions on your website, in your app, or anywhere else people are searching. Yext Search has three components: Yext Content, the index that stores data; the Search backend, which configures how the Search algorithms determine which results are returned; and the Search frontend, which structures how the results are displayed. Yext Search has capabilities around generative answers - effectively using the content to do a RAG (Retrieval Augmented Generation) step off LLM-generated answers. This means businesses can use LLMs, but the scope is constrained to a set of controlled and approved content - eliminating hallucinations such as recommending products or features that do not exist. Yext Search is ideally suited for corporate environments where response accuracy.

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Logo of InfoNgen

InfoNgen

By EPAM

4.6
(29 Ratings)

InfoNgen is a software developed to assist organizations in aggregating, filtering, and analyzing unstructured data from diverse sources. The software employs natural language processing and advanced search capabilities to extract actionable insights from news, research, and internal documents. InfoNgen supports automated content categorization and delivers information through customizable alerts and dashboards. The software addresses challenges related to information overload and facilitates more informed decision-making by enabling users to identify relevant data trends and risks in real time.

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Logo of IBM Watson Explorer

IBM Watson Explorer

By IBM

4.5
(22 Ratings)

IBM Watson Explorer is a software designed to extract, analyze, and interpret large volumes of structured and unstructured data from various sources. The software provides organizations with capabilities to search, discover, and visualize information, supporting data-driven decision-making. It features advanced text analytics, cognitive search, and natural language processing to access and understand complex data sets. IBM Watson Explorer integrates with existing enterprise systems and applications, helping users to uncover insights, identify patterns, and address business challenges related to information retrieval and knowledge management.

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Logo of Attivio Platform (Legacy)

Attivio Platform (Legacy)

By Attivio

4.6
(20 Ratings)

Attivio Platform (Legacy) is a software designed to integrate, access, and analyze unstructured and structured data from diverse sources, supporting enterprise search and information discovery. The software enables users to unify data silos, process natural language queries, and extract relevant insights to improve decision-making and operational efficiency. Key features include indexing, text analytics, and connectors for a wide range of data formats. The software addresses the challenge of disparate information environments by providing tools for advanced search capabilities, content classification, and relevance ranking. Attivio Platform (Legacy) is used for transforming complex data repositories into actionable knowledge, aiding organizations in finding, correlating, and interpreting information needed for business processes.

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Logo of Goldfire Cognitive Search

Goldfire Cognitive Search

By S&P Global

4.8
(17 Ratings)

Goldfire Cognitive Search is a software designed to enhance information discovery and knowledge management by leveraging advanced search technologies and natural language processing. The software enables users to access and analyze large volumes of structured and unstructured data from multiple sources, facilitating efficient retrieval of relevant information. It addresses business challenges related to information overload and data silos by providing semantic search capabilities, content analytics, and context-driven insights. Goldfire Cognitive Search supports decision-making processes by allowing users to identify patterns, trends, and connections within data, helping organizations to utilize their information assets more effectively for research, innovation, and operational needs.

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Logo of SearchUnify

SearchUnify

By Grazitti Interactive

4.4
(16 Ratings)
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Features of Enterprise AI Search

Updated February 2026

Mandatory Features:

  • Search indexes store the processed and enriched content and create specialized data structures, like an inverted index and/or vector index, optimized for fast retrieval during searches

  • Search engines are the core component that handles user queries. The search engine pipeline includes query processing, query execution, ranking and security trimming results - Query processing uses NLP and other advanced techniques to understand the user’s intent, handle variations in phrasing and correct errors; Query execution interacts with the index and passes potential results to the relevance and ranking component. Full-text search and vector search results can be combined using the reciprocal rank fusion algorithm to improve relevance; Relevance ranking takes the results identified by the search engine and orders them to present the most useful information first. Hybrid search combines keyword and vector search to improve accuracy. Ranking can be further improved using metadata, user behavior analytics, business rules and explicit boosting or burying configurations; Security, including results trimming, is not a mandatory feature — see “security and access control” under common features

  • User experiences are often integrated into existing enterprise applications or can be customized. Capabilities include application integration, personalization, customization, search bars, facets and filters, conversational interfaces, autocomplete, suggestions, search results snippets, voting and answers - Conversational experiences allow users to ask questions using natural language, to receive natural language responses and to ask follow-up questions; They use RAG, an AI framework that combines information retrieval (search) with LLMs to generate grounded responses. In the RAG process, the search component first retrieves relevant documents or passages from the index based on the user’s query. This retrieved context is then passed to an LLM, which uses it to generate a response. Conversation experiences are also termed AI assistants; Personalization is the ability to vary results based on parameters captured from users and their touchpoints. Parameters including usage history, touchpoint use, point in journey, geography, device and role enable users to be categorized, so as to adjust their experience; Application integration helps embed search experiences into enterprise applications and reduce friction for end users. Some vendors provide out-of-the-box integrations with systems like Salesforce and Microsoft 365, and others provide API-level developer services and UI frameworks, which can be customized to integrate with end-user tools

  • Processing pipelines vary depending on the format and type of information being processed but commonly include normalization, analysis, classification and security processing - Normalization capabilities include conversion into plain text, linguistic normalization like stemming, lemmatization and synonym expansion, language translation, transcription of audio and video, and extraction of text from images; Analysis capabilities help in understanding structure, identifying entities, resolving security bindings and analyzing sentiment; Classification capabilities include data extraction using ML or LLMs, sensitivity labeling, privacy labeling, facet tagging and ontology mapping; Security processing ensures that the original permissions of information (access control lists) are retrieved and resolved, ready for indexing

  • Connectors integrate enterprise search tools with a wide variety of structured and unstructured data sources. Capabilities include connectors to file systems, intranets, document management systems, email, databases and line-of-business applications. Vendors offer a wide variety of prebuilt connectors, often numbering in the hundreds. Connectors can use either a push or pull model to acquire content, often including metadata like identity or permissions data

Optional Features:

  • Ingest from wide data (including content)

  • Extract and enrich data

  • Evaluate and optimize relevance

Gartner Research

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