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.
How well does TypeSafe AI’s JEV handle common search problems? We explore query understanding, term importance, and product categorization through practical tests that reveal useful applications and limitations.
A search engine is one part of a modern search architecture. This article examines how data preparation, retrieval, ranking, and evaluation work together to support reliable search as requirements evolve.
AI agents use retrieved information to guide decisions and actions. This article explores how search architecture provides authorized, current, and relevant evidence throughout a workflow, while managing the latency and cost of repeated retrieval.
Work with our team to solve relevance, performance, and scalability challenges and design a search platform that performs at scale.
