Markdown RAG Documentation

def normalize_scores(scores: list[float]): if not scores: return [] if len(scores) == 1: return [1.0] min_score = min(scores) max_score = max(scores) if max_score == min_score: return [1.0] * len(scores) return [(s - min_score) / (max_score - min_score) for s in scores] def normalize_result_scores( results: list[tuple[str, float]] ): if not results: return [] if len(results) == 1: return [(results[0][0], 1.0)] scores = [score for _, score in results] normalized = normalize_scores(scores) return [(doc_id, norm_score) for (doc_id, _), norm_score in zip(results, normalized)]