Type: gemini.text.Embedding
Namespace: gemini.text
Description
Generate vector representations of text for semantic analysis using Google’s Gemini API. embeddings, similarity, search, clustering, classification, gemini
Uses Google's text embedding models to create dense vector representations of text.
These vectors capture semantic meaning, enabling:
- Semantic search
- Text clustering
- Document classification
- Recommendation systems
- Anomaly detection
- Measuring text similarity and diversity
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| input | str |
The text to embed. | `` |
| model | enum |
The embedding model to use | text-embedding-004 |
Outputs
| Output | Type | Description |
|---|---|---|
| output | list |
Related Nodes
Browse other nodes in the gemini.text namespace.