Type: nodetool.text.Embedding
Namespace: nodetool.text
Description
Generate vector representations of text using any supported embedding provider (OpenAI, Gemini, Mistral). embeddings, similarity, search, clustering, classification, vectors, semantic
Use cases:
- Semantic search and recommendation
- Text clustering and classification
- Anomaly detection
- Measuring text similarity and diversity
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| model | embedding_model |
The embedding model to use | {"type":"embedding_model","provider":"openai","... |
| input | str |
The text to embed | `` |
| chunk_size | int |
Size of text chunks for embedding (used when input exceeds model limits) | 4096 |
Outputs
| Output | Type | Description |
|---|---|---|
| output | list |
Related Nodes
Browse other nodes in the nodetool.text namespace.