Data Quality & Profiling

Analyze distribution of values for a specific property. Shows top values, uniqueness, null rate, and statistics. Essential for understanding data patt...

Analyze vector embeddings distribution. Shows dimensionality, magnitude statistics, density, and similarity patterns. Critical for understanding embed...

Check for broken cross-references in collections. Returns objects with references to deleted or non-existent objects.

Check vector quality for corruption issues. Detects zero vectors, NaN values, and vectors with abnormal magnitude. Critical for maintaining search qua...

Generate comprehensive data quality report. Combines vector quality, property completeness, duplicates, and collection health into a single report wit...

Find near-duplicate objects using vector similarity. Helps identify redundant data and potential data quality issues from duplicate imports.

Find objects without vector embeddings. Critical for debugging semantic search issues - objects without vectors won't appear in similarity searches.

Generate comprehensive collection profile with statistics on object count, properties, vectors, and overall health. Essential starting point for under...

Validate property completeness and quality. Find objects with null, missing, or empty required properties. Essential for data quality monitoring.

Validate objects against collection schema definition. Checks if objects have all required properties and correct data types.