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

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

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.

This blog post explore a practical way to evaluate the performance of vector search results in Apache Solr.

How do you retrieve mathematical formulae? What are the main problems and challenges in mathematical formulae retrieval?

It explores translating natural language queries into structured Solr queries using LLM and metadata to improve search and user experience.

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

This blog post is a tutorial for the implementation of a text search API from a Postgres database with code examples.

See how to set up a collection and queries for chess information retrieval. Here we describe a search engine to improve the chess experience.

Discover your project’s best open source database options with our comprehensive review. Learn about their strengths and weaknesses.
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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