Latent space is where embeddings live—a high-dimensional space where semantic relationships are captured geometrically.
Properties
- Similar meanings are close
- Directions can encode concepts
- Enables vector arithmetic
- Basis for retrieval
Applications
- Semantic search
- Clustering
- Anomaly detection
- Visualization