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.
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 describe an approach to solve the problem of an application that requires both Full and Atomic Updates, using one of the powerful concepts in Object Oriented Programming: Polymorphism.
Scenario You’re working as a search engineer for XYZ Ltd, a company which sells electric components. XYZ provided you the application logs of the last six months, and some business requirements. Two kinds of customers, two kinds of requirements, two kinds of search The log analysis shows that XYZ has mainly two kinds of customers:…
Quantity detection? What is a quantity? And why do we need to detect it? A quantity, as described by Martin Fowler in his “Analysis Patterns” [1] is defined as a pair which combines an amount and unit (such as 30 litres, 0.25 cl, or 140 cm). In search-based applications, there are many cases where you may want to…
This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time in Apache Solr.