
AI-Powered Search Results Navigation with LLMs & JSON Schema
It explores an AI-powered Filter Assistant to improve User eXperience in navigating search results efficiently and effectively.

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

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

How to set and view Apache Solr Request Parameters API. Including real world examples for the Ping functionality.

Explore how the Apache Solr autogeneratePhraseQueries parameter works and how its default is affected by the schema version.

This blog post explores whether to index a field in Apache Solr as a string or integer for optimal filter query performance.

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

Let’s explore how to obtain a set of documents randomly sorted, regardless of their relevance, in Apache Solr.

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