Qubrid AI Embeddings API
Generate vector embeddings from text input using embedding models hosted on the Qubrid AI platform, suitable for semantic search, clustering, and retrieval-augmented generation workflows.
Qubrid AI Embeddings API is one of 13 APIs that Qubrid AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 4 JSON Schema definitions.
Tagged areas include Embeddings. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and 4 JSON Schemas.
This API exposes 1 operation across 1 path, and defines 4 schemas. It is described by OpenAPI 3.1.0, at version 1.0.0.
Requests are made against a single base URL, https://platform.qubrid.com/api/v1.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Qubrid AI Embeddings API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (QUBRID_API_KEY) (bearerAuth).
By default, every request must be authenticated.
bearerAuth— Qubrid AI API key passed as a bearer token in the Authorization header. Obtain your API key from the Qubrid AI platform dashboard at https://platform.qubrid.co…
Paths & Operations 1
Across 1 path, the API surfaces 1 operation — 1 POST. Each is listed below with its method, path, parameters, and response codes.
Generate vector embeddings from text input using embedding models hosted on the Qubrid AI platform, suitable for semantic search, clustering, and retrieval-augmented generation wo…
Schemas 4
The contract defines 4 schemas that model the data the API accepts and returns. The most detailed are EmbeddingResponse (4 properties), EmbeddingObject (3 properties), EmbeddingRequest (3 properties), ErrorResponse (1 property). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from Qubrid AI 12
Other APIs Qubrid AI publishes across the network.