Elasticsearch Experts Elasticsearch, built on Apache Lucene, is a search server built on Apache Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and…
Heatmap facets are a powerful demonstration of Solr’s geospatial capabilities. Given a corpus of indexed shapes, a heatmap facet will show you where the results of your query fit…
Responding to queries takes CPU time, memory, and in unfortunate cases, wall time as well. Increasing the power of a cluster helps, over-provisioning can be very expensive. Caching is…
No need for analysis paralysis! 🙂 Get Relevant Search today and use offer code turnbullmu for 38% off all formats! In Chapter 4 of Relevant Search, we talk a…
How to use low level Lucene term statistics with Elasticsearch LTR plugin using TermStatQuery for feature engineering
At OpenSource Connections, We Do What We Must, Because We Can In Elasticsearch, searching across multiple fields can be confusing to beginners. This is a tough first step in…
Carefully prune the bonsai tree with Quepid for Elasticsearch 🙂 Good news! We’re proud to announce our test-driven search toolbench Quepid now supports Elasticsearch. Quepid solves fundamental problems that…
Did you know technical books can have spoilers? Well ours does 🙂 and so spoiler alert: we close our book, Relevant Search, making an argument that search engine technology…
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…
Andrew Montalenti from Parse.ly joins Doug Turnbull and Joe Lawson to talk all things Elasticsearch.
Have you looked at a scoring explain out of Elasticsearch? Perhaps you’ve had a tricky relevance problem. You’ve needed to debug Elasticsearch’s scoring. Unfortunately the relevance scoring for Elasticsearch…
Does your team use Elasticsearch but struggle to deliver relevant, high-quality search results? ‘Think Like a Relevance Engineer’ (TLRE) is a 2-part Elasticsearch training that gives your team the…