
Lexically accelerated vector search: SeededKnnVectorQuery Support in Apache Solr 10
In this blog we explores our recent contribution to Apache Solr that introduces support for SeededKnnVectorQuery.

In this blog we explores our recent contribution to Apache Solr that introduces support for SeededKnnVectorQuery.

New feature coming to Solr v10.x: KNN search on nested vectors via Block Join. KNN Block Join query enables searching across specific child paragraphs and surfacing the most relevant parent documents in a single request.

This blog post explores binary vector quantization and the recent Solr contribution which adds support for this technique.

This blog post explores scalar vector quantization and the recent Solr contribution which adds support for this technique.

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.
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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