Google Gemini Embeddings API
Generate text embedding vectors for semantic search, classification, clustering, and retrieval tasks using Gemini embedding models.
Google Gemini Embeddings API is one of 15 APIs that Google Gemini publishes on the APIs.io network, described by a machine-readable OpenAPI specification and an AsyncAPI event-driven specification.
This API exposes 1 JSON Schema definition.
Tagged areas include Embeddings. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an AsyncAPI specification, a getting-started guide, pricing, rate-limit docs, and 1 JSON Schema.
This API exposes 1 operation across 1 path, and defines 10 schemas. It is described by OpenAPI 3.1.0, at version v1beta.
Requests are made against a single base URL, https://generativelanguage.googleapis.com/v1beta.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Google Gemini Embeddings API declares
1 security scheme
for authenticating requests.
An API key is passed in the query as key (ApiKeyAuth).
By default, every request must be authenticated.
ApiKeyAuth— API key for authenticating requests. Obtain from Google AI Studio at https://aistudio.google.com/app/apikey.
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 text embedding vectors for semantic search, classification, clustering, and retrieval tasks using Gemini embedding models.
Schemas 10
The contract defines 10 schemas that model the data the API accepts and returns. The most detailed are Part (5 properties), EmbedContentRequest (4 properties), Blob (2 properties), FunctionCall (2 properties). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from Google Gemini 12
Other APIs Google Gemini publishes across the network.
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