Comprehensive tools for search quality evaluation, A/B testing, and user behavior analytics
Evaluate search quality with MRR, NDCG, CTR, and more advanced metrics
Design, run, and analyze experiments with robust statistical tools
Flexible, scalable processing system for high-throughput evaluation
Fast, efficient machine learning models for search ranking and evaluation
Leverage large language models for qualitative search evaluation
Understand how users interact with search results and identify patterns
Install OpenSearchEval and start evaluating your search quality in minutes
# Install OpenSearchEval
pip install opensearcheval
# Start the API server
python -m opensearcheval.main
# Start the UI server
python -m opensearcheval.ui.app