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OpenSearchEval

Ultimate Search Evaluation Platform

Comprehensive tools for search quality evaluation, A/B testing, and user behavior analytics

Key Features

Search Metrics

Search Quality Metrics

Evaluate search quality with MRR, NDCG, CTR, and more advanced metrics

A/B Testing

A/B Testing

Design, run, and analyze experiments with robust statistical tools

Agent Architecture

Agent Architecture

Flexible, scalable processing system for high-throughput evaluation

MLX Integration

MLX Integration

Fast, efficient machine learning models for search ranking and evaluation

LLM-as-Judge

LLM-as-Judge

Leverage large language models for qualitative search evaluation

User Behavior

User Behavior Analysis

Understand how users interact with search results and identify patterns

Getting Started

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
        
Read the Documentation
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