Releval

Releval is an API-first platform designed to evaluate, track, and continuously improve search relevance across diverse search systems. Key capabilities include: * Connects to Elasticsearch, OpenSearch, Solr, Vespa, or custom search APIs/pages * Measures quality with standard Information Retrieval metrics (NDCG, MAP, MRR) * Automates judgments with large language model-as-a-judge functionality * Compares ranking changes and tracks performance over time * Integrates evaluations into Continuous Integration (CI) pipelines This platform empowers teams to gain confidence in their search performance. It provides the necessary tools and workflows to quantify search quality, identify regressions, and validate improvements. By connecting directly to your existing search infrastructure, Releval ensures that you can monitor relevance regardless of your underlying search technology. Releval is ideal for engineering, product, and data science teams focused on optimizing search experiences for e-commerce, content discovery, knowledge bases, and internal search applications. It helps transform real user behavior into a continuous relevance feedback loop, ensuring that search results consistently meet user expectations and business goals. Improve conversion rates and user satisfaction by delivering precise, relevant search results every time.