Welcome to the era of Big Data where data-driven insights have the power to transform your business. You're about to discover the solution: a powerful, innovative and adaptive platform power packed with every feature you need for Search, Discovery & Analytics of your data.


We have named it 3RDi "Third Eye". It's the semantic search engine your enterprise needs to help you take action, boost revenues and cut costs! Powered by NLP and semantic search, it is designed for multidimensional information analysis and easy search relevancy management. Discover the comprehensive scalable platform for every challenge in search & text mining, from management and exploitation of unstructured content to deriving deeper actionable insights that boost your business.

Why choose 3RDi

3RDi isn't merely a search solution. It is a comprehensive stack of solutions for text mining, enterprise search, content integration, governance, analytics and much more. It is truly a one-stop solution for all your search and associated needs.

3RDi is designed as a suite of dynamic and pluggable components allowing enterprises to choose and customize only a selected set of components that is optimal for their business.

It's a highly secure and available solution with a backed up distributed and cloud environment.

There is nothing hidden. With 3RDi's open-source infrastructure you get the benefits of affordability, speed and collaboration while also enjoying flexibility and freedom.

To ensure a more relevant and useful experience for our customers from the Legal, Healthcare and Publishing businesses, 3RDi provides ready-to-use editions with domain-specific vocabularies and widgets.

Leverage your knowledge base by exploring our latest publications on Search, Discovery & Analytics

Scaling Apache Solr Hrishikesh KarambelkarOptimize your searches using high-performance enterprise search repositories with Apache Solr.
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Scaling Big Data with Hadoop and Solr Hrishikesh KarambelkarBy combining Apache Hadoop and Solr, you can build super-efficient, high-speed enterprise search engines.
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Scaling Big Data with Hadoop and Solr - Second Edition Hrishikesh KarambelkarUnderstand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
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Apache Solr: A practical approach! Dikshant ShahiFocuses on search concepts, challenges and explains different ways to achieve it in Solr.
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Being able to swiftly and precisely obtain pertinent information is essential for preserving a competitive edge in the fast-paced corporate world of today. Companies are overloaded with data, which makes it harder and harder to locate the information you need when you need it. Here's where...

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The Evolution of Intelligent Search Tools for Enterprises

The digital age has ushered in an era of immense data generation. Organizations face the monumental challenge of deriving actionable insights from this sea of information. Traditional tools often fall short when confronted with the complexity and scale of big data. Enter ontology and Linked Open...

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Transforming Big Data with Ontology and LOD Mapping

In today's data-driven world, enterprises are inundated with vast amounts of textual data. From large data, the sheer volume of information can be overwhelming. This is where content summarization comes into play, offering a way to distill large texts into concise, meaningful summaries. Among the...

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Unlocking the Power of Content Summarization with 3RDi Search

In recent days, the ability to quickly and accurately retrieve information is crucial for businesses. Traditional search tool methods, which rely heavily on keyword matching, often fall short in delivering relevant results. This is where advanced technologies like machine learning, semantic search,...

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Utilizing the Strengths of Machine Learning in 3RDi Search

What is Content Classification in Text Mining?
Content classification in text mining is like sorting through a massive library of books and organizing them into proper labelled shelves. Now imaging having thousands of documents, emails, or social media posts, and needing to categorize them based...

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Content Classification: The Backbone of Text Mining