
OpenSearch Neural Search Tutorial: Hybrid Search
The new implementation of hybrid search (from OpenSearch 2.10), allows for the combination and normalization of query relevance scores.

The new implementation of hybrid search (from OpenSearch 2.10), allows for the combination and normalization of query relevance scores.

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

In this blog post we explore how to find and replace a specific value within a field of an Elasticsearch index.

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

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

This blog post explores how to index Elasticsearch documents from a JSON file using Python API, specifically the Bulk Helpers

A quick overview of how to effectively use Property graphs (for modeling graphical data) using Python and Neo4j.

This blog post is about the performances (time and memory) of our contribution to Apache Lucene to generate synonyms using Word2Vec

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

This blog post is a result of our collaboration with the University of Padua, wherein the student Prarthana Ashokmayagappa played a significant role in selecting the
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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