
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 explains a workaround implemented in Solr’s CloudMLTQParser to handle fields populated via copyField.

Implementation of image retrieval through a textual query using a Vision Transformer and a GPT for image captioning.

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

The second part of OpenSearch Neural Search Plugin Tutorial for version 2.4.0 where additional tools can be found that might be useful

We are engineers specialist in Apache Lucene and Solr, do you want to make this AI Roadmap happen? Sponsor us!

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.
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.
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