EDB Docs - EDB Postgres AI v1.3.8 (LTS)

Model name: gemini

About Gemini

Google Gemini is a family of multimodal large language models developed by Google. The models are accessible via the Gemini API.

Supported aidb operations

decode_text
decode_text_batch

Supported models

Any text generation model that the provider supports. See a list of supported Gemini models here.

Creating a Gemini model

You can create any supported Gemini model using the aidb.create_model function.

This example creates a Gemini 2.5 Flash model with the name my_gemini_model:

SELECT aidb.create_model(
  'my_gemini_model',
  'gemini',
  '{"model": "gemini-2.5-flash"}'::JSONB,
  '{"api_key": "AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"}'::JSONB 
);

Running the model

SELECT aidb.decode_text('my_gemini_model', 'Why is the sky blue?');

Model configuration settings

The following configuration settings are available for OpenAI models:

model — The model to use.
url — The URL of the model to use. This setting is optional and can be used to specify a custom model URL.
max_concurrent_requests — The maximum number of concurrent requests to make to the OpenAI model. The default is 25.
thinking_budget — The number of thinking tokens used to generate responses. This setting is optional. See more here.

Model credentials

The following credentials may be required by the service providing these models.

api_key — The API key to use for Bearer Token authentication. The api_key is sent in a header field as Authorization: Bearer <api_key>.

Gemini v1.3.8 (LTS)