
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.

This blog post explores GLiNER as a viable alternative to large language models (LLMs) for query parsing tasks.

This blog post explores how GLiNER works, highlighting its underlying architecture and how it differs from traditional NER models.

It explores an AI-powered Filter Assistant to improve User eXperience in navigating search results efficiently and effectively.

Artificial Intelligence (AI) has evolved over the past few decades, from narrow, rule-based systems to broad, general-purpose models capable of interpreting and generating human-like content. In

Note on “Open Source” claims This blog post was originally written before the publication of the Open Source AI Definition, which provides a much-needed clarification
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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