We design, modernize, and optimize search systems to improve relevance, performance, and scalability across enterprise, eCommerce, and AI-powered search.
Innovent designs and optimizes distributed search architectures, addressing relevance, performance, and scalability challenges to ensure consistent and reliable search systems.
FindTuner works with Elasticsearch, OpenSearch, and Solr to enhance search performance through intelligence, insights, and control. It enables teams to understand search behavior, apply targeted optimizations, and continuously refine relevance and ranking as data, user behavior, and business strategies evolve.
A load balancer distributed requests evenly across a 40-node SolrCloud cluster, yet query coordination concentrated on only a few nodes. We trace the unexpected alias-routing behavior behind the hotspot and explain the anchor collection pattern that restored balance.
Longer queries can challenge lexical search. Learn how important-term boosting can preserve query intent, improve relevance, and better match what users are actually looking for.
Hybrid search doesn’t have to mean merging separate lexical and vector result sets. Explore an alternative architecture that uses semantic search for candidate generation while preserving the relevance, business logic, facets, and control of your existing search platform.
Work with our team to solve relevance, performance, and scalability challenges and design a search platform that performs at scale.
