Blog
Interning and Solr
…your existing data be transmitted easily into Solr? Though Solr is written in Java, there is no need to write in it. A web developer who has never programmed in…
…Solr. This is an excellent way to get the most out of Solr’s own query caching. Need more speed? Expiry headers and proxy caches like Varnish or Squid can still…
…also defined a few field types that only have “query” analyzers defined. This includes for example: <fieldType name="text_title_phrases" class="solr.TextField" positionIncrementGap="100" multiValued="true"> <analyzer type="query"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="title_phrases.txt"…
Does your team use Apache Solr, but struggle to deliver relevant, high-quality search results? ‘Think Like a Relevance Engineer’ (TLRE) is a 2-part Solr training that gives your team the…
…right, as shown in this screenshot: At first blush, these Solr results for Johnny Depp aren’t so great. That’s ok, you’re just getting started with Solr. Now it’s up to…
…that magic time is? Simple, you index the entire StackOverflow data dump into Solr and treat Solr as a StackOverflow analytics engine. (Hey, you may not know the difference between…
…in his post, when we come out with a second version of the Solr book, updating it for changes between when we published it and the final release of Solr…
…documents. The only additional setup required is to enable the MoreLikeThis requestHandler within solrconfig.xml Using Solrs MoreLikeThis Handler Now (after having restarted Solr) you can issue MoreLikeThis queries like this:…
…thing about this strategy is we’re directly telling Solr exactly what we want in an awesome candidate. It’s a bit like using Solr for a fuzzy sorter, explicitly feeding it…
Recently I saw this post on solr-user mailing list asking about running Tika for text extraction in Solr, which if you follow the thread led to chorus of people saying:…
…Apache OpenNLP. We will use the model to perform sentiment analysis on movie descriptions. Using the Model in OpenNLP with Solr We can use the model from Apache Solr by…
…<fieldType name="text_opennlp" class="solr.TextField" positionIncrementGap="100" multiValued="true" > <analyzer> <tokenizer class="solr.OpenNLPTokenizerFactory" sentenceModel="en-sent.bin" tokenizerModel="en-token.bin"/> <filter class="solr.OpenNLPPOSFilterFactory" posTaggerModel="en-pos-maxent.bin"/> <filter class="solr.OpenNLPChunkerFilterFactory" chunkerModel="en-chunker.bin"/> <filter class="solr.TypeAsPayloadFilterFactory"/> </analyzer> </fieldType> <field type="text_opennlp" name="title_opennlp" multiValued="true" /> <field type="text_opennlp" name="overview_opennlp" multiValued="true"…