> For the complete documentation index, see [llms.txt](https://guides.ia.numerique.gouv.fr/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guides.ia.numerique.gouv.fr/albert-api/api-reference/liste-des-endpoint/embeddings.md).
# Embeddings
## POST /v1/embeddings
> Create Embeddings
```json
{"openapi":"3.1.0","info":{"title":"Albert API","version":"0.4.9"},"security":[{"HTTPBearer":[]}],"components":{"securitySchemes":{"HTTPBearer":{"type":"http","scheme":"bearer"}},"schemas":{"CreateEmbeddingsBody":{"properties":{"input":{"anyOf":[{"items":{"type":"integer"},"type":"array"},{"items":{"items":{"type":"integer"},"type":"array","minItems":1},"type":"array"},{"type":"string"},{"items":{"type":"string"},"type":"array"}],"minLength":1,"title":"Input","description":"Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (call `/v1/models` endpoint to get the `max_context_length` by model) and cannot be an empty string."},"model":{"type":"string","title":"Model","description":"ID of the model to use. Call `/v1/models` endpoint to get the list of available models, only `text-embeddings-inference` model type is supported."},"dimensions":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Dimensions","description":"The number of dimensions the resulting output embeddings should have."},"encoding_format":{"$ref":"#/components/schemas/EncodingFormat","description":"The format of the output embeddings.","default":"float"}},"additionalProperties":true,"type":"object","required":["input","model"],"title":"CreateEmbeddingsBody"},"EncodingFormat":{"type":"string","enum":["float","base64"],"title":"EncodingFormat"},"EmbeddingsResponse":{"properties":{"data":{"items":{"$ref":"#/components/schemas/Embedding"},"type":"array","title":"Data"},"model":{"type":"string","title":"Model"},"object":{"type":"string","const":"list","title":"Object","default":"list"},"usage":{"$ref":"#/components/schemas/api__domain__usage__entities__Usage","description":"Usage information for the request."},"id":{"type":"string","title":"Id","description":"A unique identifier for the embedding."}},"additionalProperties":true,"type":"object","required":["data","model"],"title":"EmbeddingsResponse"},"Embedding":{"properties":{"embedding":{"items":{"type":"number"},"type":"array","title":"Embedding"},"index":{"type":"integer","title":"Index"},"object":{"type":"string","const":"embedding","title":"Object"}},"additionalProperties":true,"type":"object","required":["embedding","index","object"],"title":"Embedding","description":"Represents an embedding vector returned by embedding endpoint."},"api__domain__usage__entities__Usage":{"properties":{"prompt_tokens":{"type":"integer","title":"Prompt Tokens","default":0},"completion_tokens":{"type":"integer","title":"Completion Tokens","default":0},"total_tokens":{"type":"integer","title":"Total Tokens","default":0},"cost":{"type":"number","title":"Cost","default":0},"impacts":{"$ref":"#/components/schemas/api__domain__usage__entities__EnvironmentalImpacts","default":{"kWh":0,"kgCO2eq":0}}},"additionalProperties":true,"type":"object","title":"Usage"},"api__domain__usage__entities__EnvironmentalImpacts":{"properties":{"kWh":{"type":"number","title":"Kwh","default":0},"kgCO2eq":{"type":"number","title":"Kgco2Eq","default":0}},"additionalProperties":true,"type":"object","title":"EnvironmentalImpacts"},"api__infrastructure__fastapi__documentation__HTTPExceptionModel":{"properties":{"status_code":{"type":"integer","title":"Status Code"},"detail":{"type":"string","title":"Detail"},"headers":{"anyOf":[{"additionalProperties":{"type":"string"},"type":"object"},{"type":"null"}],"title":"Headers"}},"type":"object","required":["status_code","detail"],"title":"HTTPExceptionModel"}}},"paths":{"/v1/embeddings":{"post":{"tags":["Embeddings"],"summary":"Create Embeddings","operationId":"create_embeddings_v1_embeddings_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateEmbeddingsBody","description":"The embeddings creation request."}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/EmbeddingsResponse"}}}},"400":{"description":"Insufficient budget.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}},"401":{"description":"Invalid authentication scheme.
Invalid API key.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}},"403":{"description":"Your account has expired. Please contact support to renew your account.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}},"404":{"description":"Model {name} not found.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}},"422":{"description":"Model has wrong type. Expected: {expected_type}. Actual: {actual_type}.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}},"429":{"description":"Token/request limit per minute/day exceeded.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}},"503":{"description":"Model is too busy, please try again later.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/api__infrastructure__fastapi__documentation__HTTPExceptionModel"}}}}}}}}}
```
---
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