…Solr is a search engine, with a cloud mode which helps with scaling, load-balancing, and all of the problems which come with large data-sets and distributed computing. To enable all…
…visualization. Additional features include deployment integration of Spot instances with Chef. Its fascinating how simple and accessible massive amounts of computational power is becoming. Elastic, super computing capacity is truly…
Hey, you know you want to come to this awesome search relevance conference! We’ll have talks from companies like LexisNexis, Wikimedia Foundation, Snagajob, Lucidworks, and Elastic! Talks range from classic…
…at how complex the Dockerfile is for a project. The most popular one mkobit/nifi is just a couple of commands, mostly around downloading the distribution. NiFi doesn’t depend on a…
…of search relevance training. August 6th and 7th, “Think Like a Relevance Engineer” On August 6th and 7th, we’ll hold public Solr or Elasticsearch “Think Like a Relevance Engineer” Training….
Blog
Quepid Announced
…capabilities rest on a combined 30 years of experience in open source search engines Solr and Elasticsearch and the distributed, NoSQL database Cassandra. OSC’s thought leadership is recognized through its…
Case Study
Wikimedia Foundation
OSC partners to improve Wikipedia’s search relevance Realizing both teams were working in parallel a on machine-learning plugins for Elasticsearch, OSC and Wikimedia joined efforts to develop the Elasticsearch Learning to Rank (LTR)…
There’s been some discussion lately on what the behavior of synonyms should be in Solr and Elasticsearch. As you know, this is one of our favorite topics. At the heart…
…AM a fan of Solr & Elasticsearch. I’m not a fan of commercial/canned solutions with a few knobs and dials, where you hit walls and have no option to customize…
In previous articles, we introduced Learning to Rank (LTR) for Elasticsearch 1, 2, which uses machine learning to re-score the best documents in a query. On the surface, it offers…
…everything in our strategy be implemented in open source tools. We used a combination of Python and Elasticsearch, but these ideas could easily be implemented in a different search engine,…
…apply vector search in an e-commerce scenario and the Chorus framework, an open source reference implementation for e-commerce, now includes vector search. But how can we compare vector search to…