Do you know Querqy? If you have a Lucene-based search engine in place – which will be Solr or Elasticsearch in most cases – you should have heard about Querqy Sounds like: “Quirky”! It’s a powerful query parsing and enhancement engine. It uses different rewriters to add context to the incoming search queries. The most basic rewriter uses a manual rule configuration to add Synonyms, Filters, and Up- and Down-Boostings for the final Lucene Query. More rewriters handle decomposition, number unit normalization, and replacements.

Mushrooms are some of the oldest and compared to us humans – simplest, organisms. What we call a mushroom is actually just a fruit body of a complex underground network of fungal threads called mycelium – that’s where all the exciting stuff happens. Not only does mycelium provide the nutrients, but it also serves as a communication network.

In my last article, we learned how to create and run a Rally-Track. In this article, we’ll take a deeper and look at a real-world Rally example. I’ve chosen to use OCSS, where we can easily have more than 50.000 documents in our index and about 100.000 operations per day. So let’s begin by identifying which challenges make sense for our sample project.

Over the last 15 years, I have been in touch with tons of Search Analytics vendors and services regarding Information Retrieval. They all have one thing in common: to measure either the value or the problems of search systems. In fact, in recent years, almost every Search Vendor has jumped on board, adding some kind of Search Analytics functionality in the name of offering a more complete solution.

In his previous article, my colleague Andreas described the general importance of instant auto-complete suggest functionality in the eCommerce space. If done right – it’s a great tool to lead your visitors to their desired products. This functionality becomes ever more necessary and plays a crucial role in your customers’ overall experience, especially in light of the increase in mobile traffic to e-commerce sites.