Back to top


For SharePoint search users, moving content to the cloud can be a cost-effective approach. But what about your on-premises content? How do you select the appropriate deployment path and configurations? This white paper provides an overview of two SharePoint hybrid search options - Hybrid Federated Search and Cloud Hybrid Search. You will also get a deep-dive into the pros and cons, technical requirements, and use cases of each hybrid search option. 

Web data mining is a growing field which can provide powerful insights, helping businesses solve challenges and create new opportunities. If you could download, process, and understand relevant content from the Internet, imagine how much value you can bring to your business. 

In this tutorial, we'll discuss essential data mining tools and techniques for using Internet data to support a wide range of search, BI, and analytics use cases. 

One of the most common ways to improve the performance of search engines is to parallelize the work that needs to be performed. As the data stored in search indices increases, data inside them gets split into multiple shards. 

This tutorial discusses a shard placement technique for improving search engines' query performance. We've successfully applied this technique in several Elasticsearch and Solr search and analytics applications.

Support for the Google Search Appliance (GSA) will end in March 2019. Starting your GSA migration early will ensure a smooth transition and reduce risks. Built with GSA users in mind and around open source search engines, Search Technologies brings a cost-effective, complete solution that replaces your GSA effectively.

This white paper provides you an in-depth look into our GSA Replacement Solution and how it produces identical or better results than the GSA.

With the growth of mobile devices, catering to the needs of mobile users has become critical to business strategy, especially if you have a content-rich or e-commerce centric website, app, or both.

This how-to guide will provide you an overview of the latest trends in mobile app search as well as step-by-step discussions on what to do to improve search experience for your app users.

Whether you are planning to implement a new search engine, replace the existing one to meet business objectives, or make improvements to the current one, a thorough assessment of certain functionalities and performance metrics will be key to your success.

This e-book discusses the top 10 criteria you should consider when evaluating your options and provides a practical guideline for choosing the right one for your needs.

Collecting and analyzing log data - system logs and user logs – can help organizations find greater insights, leading to better performance and revenue. And with their affordability and enterprise-grade capabilities, open source technologies have made it possible for businesses of all sizes to efficiently perform log analytics.

This white paper will give you a deep-dive into combining the Elastic Stack and Apache Kafka to build a flexible, powerful open source log analytics architecture.

Top quality search accuracy is not achieved with technology alone or through a one-time “quick fix.” It can be achieved with a careful, continuous improvement process driven by a varied set of metrics. The starting point is an objective, statistically valid measurement of search accuracy. Search Technologies recommends using this white paper as a reference guide. The techniques discussed have been successfully used for computing search engine accuracy metrics and using engine scoring to improve accuracy over time.

As data grows, organizations are increasingly seeking for an intelligent information discovery and analytics platform that goes beyond keyword searches and better understands users' intent.

This white paper expands on Gartner's "insight engines" concept and explores how intelligent search engines with big data and natural language processing will be key in the new age of search, analytics, and business intelligence.

Studies show that e-commerce search fails to provide an optimal user experience most of the time, even for top-tier e-commerce companies. A modern e-commerce search architecture can overcome search functionality weaknesses, better serve users, and make impacts on revenue.

This white paper covers topics such as metric-driven search improvements, big data for user behavior analytics, and open source e-commerce search technologies.