Weaviate

Showing 25 of 31 from the live probe.

• Fetch

  Universal fetch tool that retrieves any object, schema, or metadata using smart ID routing with colon-separated format. Supports direct object retrieval, schema inspection, and collection metadata.

• Search

  Search Weaviate vector store using hybrid semantic + keyword search or BM25. Returns ranked results with IDs, titles, and scores.

• Weaviate Analyze Property Distribution

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

• Weaviate Analyze Vector Distribution

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

• Weaviate Backup Collection

  Create a complete backup of a collection including schema and data.

• Weaviate Batch Delete

  Delete multiple objects matching a filter condition. DESTRUCTIVE operation with safety limits. Requires explicit confirmation and WHERE filter to prevent accidental mass deletion.

• Weaviate Batch Import

  Import multiple objects in batch. Optimized for bulk loading with automatic error handling, retry logic, and progress reporting. Much faster than individual inserts.

• Weaviate Batch Update

  Update multiple objects matching a filter condition. Useful for bulk status changes, migrations, or data corrections. Includes safety limits to prevent accidental mass updates.

• Weaviate Check Orphaned References

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

• Weaviate Check Vector Quality

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

• Weaviate Compare Collections

  Compare two collections to find differences in schemas, object counts, and configurations. Useful for validating migrations or understanding related collections.

• Weaviate Copy Objects

  Copy objects between collections. Useful for data migration, creating backups, or duplicating data for testing. Optionally preserves or regenerates vectors.

• Weaviate Create Collection

  Create a new Weaviate collection with custom schema. Define properties, data types, and optionally configure a vectorizer for automatic embedding generation.

• Weaviate Data Quality Report

  Generate detailed data quality report. Combines vector quality, property completeness, duplicates, and collection health into a single report with actionable recommendations.

• Weaviate Delete

  Delete object(s) or entire collection from Weaviate. Supports three modes: single object deletion, bulk deletion with failure tracking, and collection removal. All deletions are permanent and cannot be undone.

• Weaviate Export Collection

  Export collection data including vectors, properties, and metadata for backup or migration.

• Weaviate Find Duplicates

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

• Weaviate Find Missing Vectors

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

• Weaviate Find Unused Collections

  Find collections that have no objects (empty collections). Useful for identifying collections that can be safely removed or need to be populated.

• Weaviate Get Cross References

  Analyze cross-reference relationships between collections. Shows which collections reference which other collections, similar to foreign key relationships.

• Weaviate Get Property Usage

  Analyze property usage in a collection. Shows which properties are consistently populated vs frequently null/empty. Useful for understanding data completeness and identifying unused schema fields.

• Weaviate Get Reference Graph

  Get a graph of cross-references between collections. Shows which collections reference each other and how.

• Weaviate Get Schema Detailed

  Get full schema information for a collection including properties, data types, vectorizer configuration, indexes, and module settings.

• Weaviate Hybrid Search

  Perform hybrid search combining semantic vector search with keyword matching. Hybrid search combines BM25 keyword search with vector similarity.

• Weaviate List Collections

  List all Weaviate collections with rich filtering options. Supports pattern matching, schema inclusion, object counts, and pagination. Use this for collection discovery and understanding your data structure.