Embedding Space Analyzer

U

@

·

Comprehensively analyze embedding space quality through structural, semantic, and retrieval analysis with visualizations and improvement recommendations.

13 copies0 forks
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

Details

Category

Analysis

Use Cases

Embedding analysisQuality assessmentModel evaluation

Works Best With

claude-sonnet-4-20250514gpt-4o
Created Shared

Create your own prompt vault and start sharing

Embedding Space Analyzer | Promptsy