This repository provides example code for creating Langchain agents using Google's Gemini AI model, offering a free and open-source alternative to OpenAI's API. It targets developers and users looking to build AI-powered applications without incurring API costs, enabling local execution even on less powerful hardware.

How It Works

The project leverages Google's Gemini Pro API, which remains free for projects with billing disabled, to power Langchain agents. This approach allows for the creation of versatile AI agents capable of tasks like chatbots, search, and calculations, all runnable locally via Jupyter Notebook or Google Colab.

Quick Start & Requirements

• Install via git clone https://github.com/MikeChan-HK/Gemini-agent-example.git
• Requires Python and Jupyter Notebook or Google Colab.
• Can run on low-spec PCs and iPads.
• Official example: Gemini-agent-example.ipynb

Highlighted Details

• Demonstrates Langchain agent creation without OpenAI API keys.
• Utilizes Google Gemini Pro API, emphasizing its free tier.
• Supports local execution on various devices, including low-spec PCs and iPads.
• Mentions potential future support for Ollama.

Maintenance & Community

• The project is maintained by MikeChan-HK.
• Contributions are welcome via pull requests.

Licensing & Compatibility

• Licensed under the MIT License.
• Permissive for commercial use and integration with closed-source projects.

Limitations & Caveats

The project is presented as an example and may require modifications for specific use cases. Future updates are dependent on the maintainer's availability.