Type: openai.text.Embedding
Namespace: openai.text
Description
Generate vector representations of text for semantic analysis. embeddings, similarity, search, clustering, classification
Uses OpenAI's 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 |
`` | |
| model | Enum['text-embedding-3-large', 'text-embedding-3-small'] |
text-embedding-3-small |
|
| chunk_size | int |
4096 |
Outputs
| Output | Type | Description |
|---|---|---|
| output | np_array |
Metadata
Related Nodes
Browse other nodes in the openai.text namespace.