> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trieve.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Create Sparse Embedding
> Get sparse embeddings. Returns a 424 status code if the model is not a SPLADE embedding model
Generating an embedding from a sparse embedding model.
The main ones that we support are SPLADE models.
```json RAW Json theme={null}
{
"inputs": "The model input",
"prompt_name": null,
"truncate": false,
"truncation_direction": "right"
}
```
```sh curl theme={null}
curl -X POST \
-H "Content-Type: application/json"\
-d '{"inputs": "test input"}' \
--url http://$ENDPOINT/embed_sparse
```
```py python theme={null}
import requests
endpoint = ""
requests.post(f"{endpoint}/embed_sparse", json={
"inputs": ["test input", "test input 2"]
});
## or
requests.post(f"{endpoint}/embed_sparse", json={
"inputs": "test single input"
});
```
```json 200 Embeddings theme={null}
[
// Embedding 1
[
{
"index": 1012,
"value": 0.9970703
},
{
"index": 4456,
"value": 2.7832031
}
],
// Embedding 2
[
{
"index": 990,
"value": 2.783203
},
{
"index": 3021,
"value": 10.9970703
},
...
],
...
]
```
```json 413 theme={null}
{
"error": "Batch size error",
"error_type": "validation"
}
```
```json 422 theme={null}
{
"error": "Tokenization error",
"error_type": "validation"
}
```
```json 424 theme={null}
{
"error": "Inference failed",
"error_type": "backend"
}
```
```json 429 theme={null}
{
"error": "Model is overloaded",
"error_type": "overloaded"
}
```
Inputs that need to be embedded
The name of the prompt that should be used by for encoding. If not set, no prompt will be applied.
Must be a key in the `sentence-transformers` configuration prompts dictionary.
For example if `prompt_name` is **"doc"** then the sentence **"How to get fast inference?"** will be encoded as **"doc: How to get fast inference?"** because the prompt text will be prepended before any text to encode.
Automatically truncate inputs that are longer than the maximum supported size