Gemini with LangChain

Overview

This repository contains examples and tutorials for integrating Google Gemini with LangChain for various text processing tasks. It covers direct calls to the Gemini model, using LangChain for text generation and memory management, and evaluating Gemini outputs.

Contents

1. Direct Call to Gemini Model
2. LangChain Integration with Gemini
3. LangChain Memory Management
4. Chains in LangChain
5. Question-Answering over Documents
6. Evaluation of Gemini Outputs

Each section includes code snippets and explanations to help you understand and implement these functionalities in your projects.

Requirements

• Python 3.x
• Google Colab
• Required libraries (specified in requirements.txt)

Usage

1. Clone the repository:

   git clone https://github.com/your-username/GeminiLangChain.git
   

Contributing

Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request.