# Embeddings

## Create an embedding

> This endpoint creates an embedding using the specified model.

```json
{"openapi":"3.0.0","info":{"title":"Cortecs Embeddings API","version":"1.0.0"},"servers":[{"url":"https://api.cortecs.ai/v1"}],"security":[{"bearerAuth":[]}],"components":{"securitySchemes":{"bearerAuth":{"type":"http","scheme":"bearer","bearerFormat":"JWT"}},"schemas":{"EmbeddingRequest":{"type":"object","description":"A request object for generating embeddings. This object contains suggested parameters to generate an embedding from the specified model; however, you may include other parameters as required. Note that not all providers support the same set of parameters. Adding unsupported or unnecessary parameters can cause requests to fail or limit the providers able to process them.\n","properties":{"preference":{"type":"string","description":"The provider preference for handling the request.","enum":["speed","cost","balanced"]},"allowed_providers":{"type":"array","items":{"type":"string"},"description":"The providers that are allowed to be used for the completion.","nullable":true},"eu_native":{"type":"boolean","description":"Whether to consider only providers based and regulated withing the EU. Even when false, all our endpoints are GDPR compliant.","nullable":true},"allow_quantization":{"type":"boolean","description":"Whether to allow quantized endpoints.","nullable":true},"allow_zero_data_retention":{"type":"boolean","description":"Whether to use only ZDR providers.","nullable":true},"enable_model_fallback":{"type":"boolean","description":"Whether to allow model fallback when a model is currently unavailable.","nullable":true},"model":{"type":"string","description":"The model to use for the embedding."},"input":{"oneOf":[{"type":"string","description":"A single input to embed."},{"type":"array","items":{"type":"string"},"description":"A list of inputs to embed."}]},"encoding_format":{"type":"string","description":"The encoding to use for the output.","enum":["float","base64"],"default":"float"}}},"EmbeddingResponse":{"type":"object","properties":{"id":{"type":"string","description":"The unique identifier for the completion"},"object":{"type":"string","description":"The type of object returned"},"created":{"type":"integer","description":"The timestamp when the completion was created"},"provider":{"type":"string","description":"The provider that generated the completion"},"model":{"type":"string","description":"The model that generated the embedding"},"data":{"type":"array","items":{"type":"object","properties":{"index":{"type":"integer","description":"The index of the choice"},"object":{"type":"string","description":"The type of object returned"},"embedding":{"type":"array","items":{"type":"number"},"description":"The embedding"}}}},"usage":{"type":"object","description":"Token usage information.","properties":{"prompt_tokens":{"type":"integer","description":"Number of input tokens"},"completion_tokens":{"type":"integer","description":"Since embeddings are not tokens, this is always 0"},"total_tokens":{"type":"integer","description":"Total number of tokens used"}}}}}}},"paths":{"/embeddings":{"post":{"summary":"Create an embedding","description":"This endpoint creates an embedding using the specified model.","requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/EmbeddingRequest"}}}},"responses":{"200":{"description":"An embedding.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/EmbeddingResponse"}}}},"500":{"description":"Internal server error."}}}}}}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cortecs.ai/api-overview/embeddings.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.