Module vector_quality 

Vector quality analysis and validation utilities

This module provides tools for analyzing and validating embedding vectors, detecting anomalies, and ensuring data quality in semantic search systems.

Structs

AnomalyReport

Anomaly detection result

BatchStats

Batch statistics for a collection of vectors

VectorQuality

Quality metrics for a vector

VectorStats

Statistics about a vector or collection of vectors

Enums

AnomalyType

Types of anomalies that can be detected

Functions

analyze_quality

Analyze vector quality

compute_batch_stats

Compute batch statistics for multiple vectors

compute_diversity

Diversity score for a set of vectors

compute_stats

Compute statistics for a vector

cosine_similarity

Compute cosine similarity between two vectors

detect_anomaly

Detect anomalies in a vector compared to a baseline distribution

find_outliers

Find outlier vectors in a batch based on their distance from the mean