Embeddings
POST
/v1/generationsGenerate vector embeddings for text, useful for semantic search, clustering, and RAG applications.
Example
python
response = client.post("/v1/generations", json={
"model": "openai/text-embedding-3-small",
"input": "The quick brown fox jumps over the lazy dog"
})
embedding = response.json()["outputs"][0]["embedding"]
print(f"Dimensions: {len(embedding)}")Available Models
| Model | Dimensions | Price (per 1M tokens) |
|---|---|---|
openai/text-embedding-3-small | 1536 | $0.02 |
openai/text-embedding-3-large | 3072 | $0.13 |
voyage/voyage-3 | 1024 | $0.06 |

