Analyze the quality and structure of our embedding space. ## Embedding Model {{embedding_model}} ## Sample Data {{sample_data_description}} ## Quality Concerns {{quality_concerns}} Perform comprehensive analysis: **Structural Analysis** - Dimensionality analysis - Clustering patterns - Outlier detection - Isotropy measurement **Semantic Analysis** - Nearest neighbor quality - Analogy tests - Semantic coherence - Domain coverage **Retrieval Analysis** - Query-document similarity distributions - Hard negative identification - Failure case clustering **Visualization** - t-SNE/UMAP projections - Similarity heatmaps - Cluster boundaries Provide: - Analysis code - Visualization notebooks - Quality metrics - Improvement recommendations
Embedding Space Analyzer
U
@
Comprehensively analyze embedding space quality through structural, semantic, and retrieval analysis with visualizations and improvement recommendations.
13 copies0 forks
Details
Category
AnalysisUse Cases
Embedding analysisQuality assessmentModel evaluation
Works Best With
claude-sonnet-4-20250514gpt-4o
Created Shared