# LangChain Project

This repository contains the source code for a language processing application built with Python, leveraging the PyTorch framework for implementing language models and integrating various tools for enhanced language understanding and generation capabilities.

## Features

- **Language Model Integration**: Utilizes advanced language models for understanding and generating human-like text.
- **Tool Integration**: Seamlessly integrates external tools like Tavily for specialized searches, enhancing the application's capabilities.
- **Dynamic Interaction Graph**: Employs a state graph for managing the flow of interactions, allowing for complex conversational logic.

## Installation

To set up the project environment, follow these steps:

1. Clone the repository:
   ```bash
   git clone https://github.com/crismolav/langchain-project.git

2. Navigate to the project directory:

   cd langchain-project

3. Install the required Python packages:

   pip install -r requirements.txt

Usage

To start the application, run the following command in the terminal:

python src/lang_graph.py

Follow the on-screen prompts to interact with the application.

Configuration

The application requires setting up environment variables for API keys. Rename the .env.example file to .env and update it with your API keys:

OPENAI_API_KEY=your_openai_api_key_here
TAVILY_API_KEY=your_tavily_api_key_here

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any bugs or feature requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

This README provides a basic overview, installation guide, usage instructions, configuration details, contribution guidelines, and licensing information for the project. Adjust the repository URL and any specific details as necessary.