Search Results: 'elasticsearch'

…when you want to identify a search relevance baseline performance to begin improving. Splainer and Quepid both support Apache Solr, Elasticsearch, and now OpenSearch! Splainer and Quepid now support OpenSearch!…

…a deep dive of the search engine Solr or ElasticSearch-produced Lucene query structure as well as the math behind the Lucene scoring of matched terms and phrases; And a system…

…search performance than either technique alone. All of the work was done in Elasticsearch and without fine tuning or re-training any models. The methods and results described here were empirically…

…are harvested from logs and put intosomething like the ELK stack (Elasticsearch Logstash Kibana) or sent to Google Analytics. There’scertainly nothing wrong with that approach, but for me it adds…

…Every Friday a team member leads a discussion on real technical solutions to search relevance. Many times the talk is around something seemingly mundane like Solr/Elasticsearch synonyms or boosting strategies….

…working flawlessly as a guest in Windows! At OSC we empower the world’s best search teams – if you have a search engine project using Apache Solr or Elasticsearch and…

…year. His technological focus is on Solr, Elasticsearch and Lucene. He created and maintains the Querqy open source library for query rewriting. René is co-initiator of the Chorus project –…

…engines such as Apache Solr, Elasticsearch & OpenSearch, vector engines like Vectara and has APIs allowing it to be connected to potentially any search engine or service. Quepid is open…

…is tokenized by a search engine. A way to file bugs back to your search team for areas where their expertise with Solr, Elasticsearch, Lucene, etc could be valuable. Is…

…and use it! If your IT manager doesn’t like to use unreleased code, tell’em to come talk to me! ElasticSearch continues to have some great mind share, but suffers from…

…lets us use features of users, keyword queries, products that can predict the balanced utility ordering. Simple reranking Another approach could be to simply have competing models. In Elasticsearch and…

…system on top of an existing search engine like Solr or Elasticsearch. I’m sidestepping a complicated question. Specifically: how do you arrive at these judgments? How do you know when…