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Gemini API with Cookbook

Name: Gemini API with Cookbook
Author: google-gemini

Get Gemini API guides for founders, backed by 17k+ GitHub stars, using Jupyter Notebook examples.

intermediate⏱ 30 minutes💵 Free (self-hosted)

17,534 stars2,699 forksJupyter NotebookQuality 8/10Updated 7/14/2026100% free · open source

What it is

Use the Gemini API to build and connect your own AI chatbots.

What you can make with it

Automations like: chatbots that pull product data from the web and respond to customer queries.

How it helps

The Gemini API provides a simple, flexible way to interact with the Gemini AI model, making it easier to build custom chatbots without writing from scratch.

Real use case example

"A founder can use the Gemini API to build a chatbot that pulls product data from Amazon and responds to customer questions about product availability. Here's how: First, sign up for a Gemini API key, then set up a new chatbot in a development environment like Jupyter Notebook. Finally, use the Gemini API to connect the chatbot to the Amazon API and start building custom responses. With the Gemini API, the founder can quickly build a chatbot that saves time and improves customer satisfaction."

If you're new

Beginners should start with this when they want to build their first chatbot with a simple API.

If you're senior

Senior engineers and developers will use the Gemini API when they need a reliable, well-documented way to connect to Gemini AI inside their existing workflow.

Common confusion cleared up

Don't confuse the Gemini API with the general Gemini AI model - the API is a specific interface for building custom chatbots.

Best inside these AI tools

Gemini Code AssistCursorGPT (ChatGPT)Any AI Client

Pairs with

Stripe webhookNotion databaseResendAmazon API

Why we list it on WorkflowStacks: The marketplace includes the Gemini API to give users access to a reliable and well-documented way to build AI-powered chatbots.

What it does

The Gemini API cookbook provides founders with guided examples and tutorials on using the Gemini API, backed by a large community with 17k+ GitHub stars, through interactive Jupyter Notebook examples.

Install / run

Clone the repository by running `git clone https://github.com/google-gemini/cookbook.git`

When to use it

•When you need to integrate the Gemini API into your application and require step-by-step guidance.
•When looking for community-reviewed and tested examples to solve specific Gemini API use cases.
•When you want to learn by interacting with live code examples in Jupyter Notebooks.

Quick start

1Navigate to the cloned repository using `cd cookbook`.
2Explore the examples directory for specific use cases, such as `cd examples`.
3Open a Jupyter Notebook with `jupyter notebook` to interact with the examples.
4Run a specific example by opening its notebook file (e.g., `example.ipynb`) and executing the cells.
5Reference the Gemini API documentation, linked from the repository's README, for detailed API information.

Ready-to-paste prompt

Open a Jupyter Notebook and create a new cell with `import gemini` to start using the Gemini API, following the examples provided in the repository.

Heads up: Ensure you have a Google account and enable the Gemini API in the Google Cloud Console to obtain the necessary API keys for authentication, which is a prerequisite for using the cookbook examples.

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