Preserving Query Intent to Improve Lexical Search Relevance
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.
Strategy, Architecture & Optimization for Modern Search Platforms
We design, modernize, and optimize search systems to improve relevance, performance, and scalability across enterprise, eCommerce, and AI-powered search.
Trusted by companies of all sizes
Search Architecture & Optimization Services
Platform Expertise Across the Search Ecosystem
Innovent designs and optimizes distributed search architectures, addressing relevance, performance, and scalability challenges to ensure consistent and reliable search systems.
Search Applications & Use Cases
FindTuner Search & Discovery Optimization Platform
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.
Search Insights & Expertise
Stop Merging Search Results: A Better Architecture for Hybrid Search
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.
Search as a Concierge Service
Modern product discovery requires more than traditional search alone. Learn how Large Language Models (LLMs) and BM25-based search engines work together to understand shopper intent, improve search relevance, and deliver more effective ecommerce search experiences.
Design and Optimize Your Search Platform
Work with our team to solve relevance, performance, and scalability challenges and design a search platform that performs at scale.