Top 5 Semantic Search Engines in 2020

When Big Data is the single biggest factor that is influencing enterprises these days, then the biggest challenge that enterprises are facing today is the large volumes of data that is being collected everyday. This data is so large in volume that it can get next to impossible to analyze this data to derive any kind of meaning. In such a scenario, what enterprises need is a solution that helps them make sense of this large volumes of information that is there in a wide variety of different formats. Interestingly, it’s the randomness of this information that makes it impossible to analyze and search for using any of the traditional methods of data mining. The solution? The semantic search engine saves the day here.

Today, enterprises are investing in semantic search engines to make sense of the large volumes of data at their disposal. 3RDi Search is one example of such a platform that is powered by semantic technology, along with NLP, AI and machine learning. Coveo is another example of a text mining tool powered by semantic search. These tools are power-packed with the latest data mining capabilities that the enterprises need today in order to successfully analyze unstructured, random enterprise data to derive key insights from it.

1] 3RDi Search

• Powered by machine learning, AI and NLP to enable the semantic search engine to understand user queries.
• Offers data analytics and search analytics features that help in deriving the insights from deep within the data.
• Partnerships with advanced technology to help create a more enhanced user experience.
• Offers every text mining capability that a semantic search engine should offer, for easy analysis of enterprise data for deep insights.
• Powers an integrated research platform which is ResearchNet – a biomedical research platform.

Visit to learn more: www.3rdisearch.com

 2] Coveo

• Designed to provide easy access to business information for quick analysis and decision making.
• Delivers insights and knowledge from complex enterprise data, that can be used in multiple ways.
• Available on-premise as well as on the Cloud.
• Designed to build a more engaging experience for users.
• Caters to the search requirements of enterprises across domains, with different requirements.

Visit to learn more: www.coveo.com

 3] AddSearch

• Designed to create a smart search experience for users.
• It’s fully functional and is designed for every enterprise level challenge.
• Allows easy customization of the look and feel of the search pages too.
• Gives the users the power to customize the software for a more personalized experience.
• Powered by machine learning, AI and NLP to enable the semantic search engine to understand user queries.

Visit to learn more: www.addsearch.com

 4] Search Spring

• Designed to power ecommerce platforms, where a good search engine can transform the user ecperience.
• Offers features that make it easy for users to find products on the site, such as faceted search and filters.
• Powered by machine learning, AI and NLP, that enable the semantic search engine to understand user queries.
• Designed to offer an interactive search experience to the users.
• Offers data analytics and search analytics features that help in deriving the insights from the data.
• Offers good support to help businesses to improve the search experience for their users.

Visit to learn more: www.searchspring.com

 5] Inbenta

• Powered by Artificial intelligence (AI) and Natural Language Processing (NLP)
• Powered by machine learning, which identifies and picks up user behavior to create a personalized search experience for the users.
• Designed to power ecommerce websites and chatbots, among other applications.
• Uses semantic technology to provide precise search results that make the user happy.
• Designed to help enterprises engage users with their enterprise search platform.

Visit to learn more: www.inbenta.com