Module eval 

Evaluation Module for RAG++

Provides metrics and utilities for evaluating retrieval quality.

Metrics

• Recall@K: Fraction of relevant items retrieved in top-K
• Precision@K: Fraction of retrieved items that are relevant
• MRR (Mean Reciprocal Rank): Average of reciprocal ranks of first relevant item
• NDCG@K: Normalized Discounted Cumulative Gain
• Hit Rate@K: Whether at least one relevant item is in top-K

Structs

BenchmarkResult

Result of a benchmark run.

Benchmarker

Benchmark runner for performance evaluation.

EvaluationSummary

Aggregated evaluation metrics across multiple queries.

Evaluator

Evaluator for computing retrieval metrics.

QueryEvaluation

Evaluation result for a single query.