
GLiNER as an Alternative to LLMs for Query Parsing – Introduction
This blog post explores how GLiNER works, highlighting its underlying architecture and how it differs from traditional NER models.

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

Imagine stumbling upon a shiny platform that claims to offer “done-for-you” searches with AI-powered relevance and conversational chat, all rolled into one, perfectly working out

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

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

Learn all the secrets of the new semantic search in Apache Solr 9.8 that uses LLMs to vectorise text and support natural language queries.

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

We were back at Berlin Buzzword this month, and we enjoyed it so much that we can’t wait to share our experience with you! Here

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

Curious about which large language models are dominating 2025? This comprehensive guide breaks down the top options—open-source, hybrid, and commercial, helping you choose the right AI tool for your needs.

The post discusses the interaction between three Solr parameters: autoGeneratePhraseQueries, synonyms, and minimum should match.
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