AI Intelligence
Understand how
your AI sees meaning
Visualize and explore your embedding space. Understand semantic relationships and clustering patterns.
Embeddings
Interactive preview
AI IntelligenceAI Intelligence
Documentation →Semantic visualization
See your embeddings in 2D or 3D. Understand how concepts cluster and relate.
Quality insights
Detect embedding issues—outliers, clusters that should be separate, concepts that should be closer.
Retrieval debugging
Understand why certain documents are retrieved. Visualize similarity relationships.
Embedding visualization
Project your embeddings into 2D or 3D space. Explore clusters, outliers, and semantic relationships.
- UMAP/t-SNE projection
- Interactive exploration
- Cluster detection
TREND
12h agoNow
Similarity analysis
Understand similarity scores. See which documents are close together and why.
- Similarity matrices
- Nearest neighbors
- Distance distributions
OVERVIEW
How it works
1
Index
Send embeddings to Empress or connect your vector DB
2
Project
Embeddings are projected for visualization
3
Explore
Navigate the semantic space interactively
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All apps →See semantic space
Understand what embeddings mean.
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