This blog post aims to explore Word2Vec, the algorithm we used to generate synonyms in our contribution to Apache Lucene
This blog post explains all the steps required to implement Text Embedding and Vector Search directly in Elasticsearch in a very simple way.
In this blog post, we show in practice how you can use Elasticsearch to run a full end-to-end neural search.
In this blog post, we show in practice how you use Apache Solr to index and search vectors and then run a full end-to-end neural search.
This blog post explores the new OpenSearch neural search plugin, given a detailed description of it through our end-to-end experience.
In this blog post, the elasticsearch _source field is compared with stored fields and docvalues from a performance point of view
This blog post aims to give a better understanding of Docvalues and stored fields in Apache Solr for the operations in which they can be used interchangeably.
In this post we’ll cover two additional synonyms scenarios and we’ll try to summarise all previous tips in a coincise form. Following the approach of the previous posts [1] [2] [3], everything can be applied both to Apache Solr and Elasticsearch. Preconditions Synonyms and stopwords at query time: this is not just a “theoretical” constraint; imagine if you…
The Context Brief recap of where we arrived in the preceding article: we had the following synonyms and stopwords settings: synonyms = {“out of warranty”,”oow”} stopwords = {“of”} Both of those filters were configured exclusively at query-time; the synonym filter first and then the stopwords filter. Using the built-in StopFilter we had a synonym detection…
The Context The scenario description is quite simple: we want to use synonyms and stopwords. Following the path of our previous article, we will introduce an additional component in the analysis chain: a StopFilter, which, as the name suggests, removes a set of words from an incoming token stream. We will use the following data…
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