
OpenSearch and Large Language Models
In this blog post, we provide a comprehensive overview of the features based on large language models (LLM) currently supported by OpenSearch.

In this blog post, we provide a comprehensive overview of the features based on large language models (LLM) currently supported by OpenSearch.

Explore Semantic Highlighting feature in OpenSearch v3.0, how it works, and how it compares to the Sease Solr Neural Highlighting plugin.

This blog post focuses on limitations in OpenSearch v2.17 during the implementation of search features and proposes practical workarounds.

This blog post will focus on exploring Neural Sparse Search, an alternative approach to neural text search.

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

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 the new OpenSearch neural search plugin, given a detailed description of it through our end-to-end experience.

What is a cluster_block_exception in Elasticsearch? How to solve it? Let’s define an index management policy with a rollover strategy.
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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