Announcing Quepid For Elasticsearch
Doug turnbull | 25 Sep 2015
Good news! We're proud to announce our test-driven search toolbench Quepid now supports Elasticsearch. Quepid helps by bringing test-driven principles to tuning search results -- what we call Test-Driven Relevancy. It helps define what good search results by incorporating your own business expertise from colleagues that know users the best
Using DSE to run Solr Spark Jobs
Eric pugh | 24 Sep 2015
Notes from pulling and pushing data in Solr using Spark and DataStax Enterprise
Elyzer: Step-by-Step Elasticsearch Analyzer Debugging
Doug turnbull | 22 Sep 2015
I love stringing together custom analyzers to solve my search problems. Analyzers control how search and document text are transformed, step-by-step into individual terms for matching. This in turn gives you tremendous low-level control of your relevance. Yet one thing has always bugged me with Elasticsearch. You can't inspect the step-by-step behavior of an analyzer very easily. You have the _analyze API, which helps a great deal see the final output of the lengthy analysis process. But you can't pry into each step to see what's happening.
Quepid takes the guesswork out of search relevancy. Start benefiting from test-driven relevancy today.
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