Vectorize content with an Isaacus embedding model.
## Example
```javascript
import Isaacus from 'isaacus';
const client = new Isaacus({
apiKey: process.env['ISAACUS_API_KEY'],
});
const embeddingResponse = await client.embeddings.create({
model: 'kanon-2-embedder',
texts: [
'Are restraints of trade enforceable under English law?',
'What is a non-compete clause?',
],
});
console.log(embeddingResponse.embeddings);
```
```python
import os
from isaacus import Isaacus
client = Isaacus(
api_key=os.environ.get("ISAACUS_API_KEY"),
)
embedding_response = client.embeddings.create(
model="kanon-2-embedder",
texts=["Are restraints of trade enforceable under English law?", "What is a non-compete clause?"],
)
print(embedding_response.embeddings)
```
## Authorizations
## Request body
## Response
Embeddings of texts produced by an Isaacus embedding model.
See [making requests](/docs/api-reference/making-requests) for authentication, SDK usage, and [errors](/docs/api-reference/errors).