
Faster Vector Search: Early Termination Strategy Now in Apache Solr
In this blog we explores an early termination strategy designed to make approximate k-NN search faster in Apache Solr.

In this blog we explores an early termination strategy designed to make approximate k-NN search faster in Apache Solr.

This blog post is about how Filtering works in OpenSearch, exploring its importance, and how it is handle in vector search.

It explores the OpenSearch k-NN Plugin, which offers 3 different approaches for retrieving the k-nearest neighbors from a vector index.

The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE

This blog post aims to explore Word2Vec, the algorithm we used to generate synonyms in our contribution to Apache Lucene

This blog post aims to explore our contribution to Apache Lucene, which integrates a Word2Vec model to generate synonyms

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 Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
WhatsApp us