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.
We are recently working on contributing knn search in Solr leveraging on the latest Lucene developments. This blog post goal is to give some numbers about the benchmark mesaures gathered during the development process. Setup and collection To benchmark our solution we setup our solr instances using dockerized solr in a t3.large aws machine (2…