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Tag: edismax

Anna Ruggero

Boosted K-Nearest Neighbor Search

The evolution of search architectures highlights the transition from traditional methods to dense vector search, enhancing semantic retrieval. However, integrating external ranking logic remains challenging due to limitations in ranking with vector similarity alone. Solutions like hybrid approaches and re-ranking pipelines exist but fall short of the flexibility offered by eDisMax.

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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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