Artificial intelligence (AI) is transforming how organizations search and discover information. Enterprise search tools that leverage AI are becoming invaluable for businesses looking to improve knowledge management and boost workplace productivity.
In 2024, more companies will turn to enterprise search platforms with built-in AI and machine learning capabilities. These intelligent search solutions can better understand user intent, provide more relevant results, and improve search performance.
Here are 6 top AI-powered enterprise search tools to consider implementing in 2024:
Guru
Guru is widely referred to as one of the best enterprise AI search tools available today. It combines the capabilities of an intelligent search engine, modern wiki, and employee intranet into one powerful platform.
With Guru, teams can connect their company’s most used apps and get instant access to verified answers directly in their workflows. Employees type in a query and get a tailored answer, along with the sources it was compiled from. Subject matter experts verify the information before storing it in Guru’s knowledge base.
Key features that make Guru a leader in its space:
AI-powered search to surface relevant, trusted content
Tools to easily capture and update tribal knowledge
Secure architecture purpose-built for the enterprise
Instant answers in the apps employees already use daily
Sage analytics to optimize content for employee needs
Integrations with Slack, Salesforce, Zendesk, and more.
Guru stands out among the top AI search engines by delivering verified knowledge, not just information. Its focus on both intelligent search and expert-verified content makes it a trailblazer.
Coveo
Coveo is a leader in the enterprise search space, known for its advanced AI capabilities. Its platform combines relevant content, data, and people through unified search, recommendations, and personalization.
The tool uses deep learning algorithms to understand natural language queries. It can automatically filter, extract, and classify unstructured data like documents, emails, and web pages. The platform provides intelligent insights by analyzing patterns in usage and content.
Key features include:
Natural language processing to interpret search queries based on user intent
Machine learning to continuously improve the relevance of results
Smart recommendations based on usage patterns and individual interests
Connectors for commonly used data sources like Salesforce, SharePoint, Dropbox, etc
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Sinequa
Sinequa offers an Intelligent search platform combining search, analytics, and AI. It brings meaning and context to enterprise information for faster insights and better decisions.
With Sinequa, you can utilize natural language processing and machine learning algorithms to understand user intent. It derives contextual information from content and data sources to recommend personalized content. Users can easily find expertise, analyze data, and get insights for informed action.
Key features include:
A no-code canvas for business users to create apps and workflows
Advanced semantic enrichment of content with machine learning
Sentiment analysis to automatically tag the tone and emotion of the text
Connected data architecture to unify siloed information
Lucidworks
Lucidworks offers AI-powered search and discovery through its Fusion platform. It combines customizable search, machine learning, and analytics in a secure enterprise solution. Lucidworks Fusion uses natural language processing to interpret user intent.
It applies machine learning algorithms to analyze usage patterns and refine relevancy rankings. The platform also provides chatbot integrations, recommendations, and predictive analytics.
Key features include:
Intuitive web UX with advanced search features like filters, facets, and autocomplete
AI-driven query understanding, document ranking, and analytics
Graph-based knowledge graph to enhance insights
Connectors for systems like SQL databases, intranets, CRMs, and cloud apps
Algolia
Algolia provides hosted search APIs that enable teams to build fast and relevant search experiences. Its search engine is optimized using machine learning algorithms.
Algolia’s search features include typo tolerance, query suggestions, and synonym handling. It auto-tunes results based on metrics like click-through rate. The platform also offers industry-specific search solutions for e-commerce, media sites, and marketplaces.
Key features include:
Ultra-fast auto-scaling API hosted on Google Cloud
Machine learning to refine search quality and relevance
Configurable ranking and weighting of results
Faceting, pagination, and filtering of results
SearchUnify
SearchUnify is an intelligent enterprise search solution by Grazitti Interactive. It combines machine learning, NLP, and a unified data layer into a single platform.
The tool has over 70 pre-built connectors to index content from cloud apps, databases, DFS, emails, websites, and more. Users can find contextually relevant information through an AI-powered knowledge graph.
Key features include:
Unified connectors for centralized data access
Machine learning algorithms to understand intent and refine search quality
AI-based content analytics for smart metadata tagging
Intelligent recommendations personalized to the user
Cognitive chatbots for conversational search experiences
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Final Thoughts
In 2024, more enterprises will seek AI-based solutions like Guru to help workers find answers, expertise, and insights efficiently. Leading tools combine machine learning and NLP to deliver intelligent yet simple search experiences.
Platforms that provide unified access to dispersed data, understand user intent, and continuously learn will rise to the top. Companies should evaluate enterprise search tools with robust AI and ML capabilities to stay competitive in the coming years.
Intelligent search makes connecting people to relevant information faster and more targeted. Organizations can unlock productivity, improve decision-making, and enable innovation with the right enterprise search platform.