
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 shows how to run a hybrid search(keyword-based search + vectors) in Apache Solr with code examples and explanations!

This blog post gives you an overview of how fuzzy queries work in Elasticsearch with examples and references.

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

An overview of what is Semantic Web, how it uses RDF data, how to query it through SPARQL and what is linked open data.

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