
Semantic Search (Text to Vector) with Apache Solr
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.

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.

Let’s announce the twenty-third edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.

Berlin Buzzwords 2025 Berlin Buzzwords is Germany’s most exciting conference on storing, processing, streaming and searching large amounts of digital data, with a focus on

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
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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