Case Study: Consensus achieves faster, more accurate academic search with Elastic

Consensus upgrades academic research platform with advanced semantic search and AI tools from Elastic

Consensus, an academic research search platform serving a million users, needed to improve search relevance and stand out in an increasingly crowded AI-search market. The team wanted better semantic search and AI capabilities without losing the benefits of traditional keyword search, and they turned to Elastic, using Elastic Search and the ELSER retrieval model.

Elastic helped Consensus launch Consensus 2.0 with combined semantic and lexical search, AI-generated summaries, and strong out-of-the-box filtering and matching features. The result was a 30% increase in useful query results and a reduction in average search latency from almost four seconds to less than one second, while also enabling a roadmap for future search innovation with Elastic.

Consensus

Christian Salem

Co-founder and CPO