LangChain Learning

This project documents my learning journey with LangChain, featuring incremental updates saved in separate files.

Table of Contents

• Installation
• Setup
• Usage

Installation

To get started with this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/dev-arctik/LangChain-Learning.git
   cd LangChain_Learning

2. Create a virtual environment (optional but recommended):

   python -m venv venv

3. Activate the virtual environment:

   • On macOS and Linux:

     source venv/bin/activate

   • On Windows:

     venv\Scripts\activate

4. Install the required packages:

   pip install -r requirements.txt

Setup

To run the code effectively, create a .env file in the root directory to store your API key. This is necessary for using the OpenAI models.

Create a .env file and add the following line:

OPENAI_API_KEY='your_openai_api_key_here'

Replace 'your_openai_api_key_here' with your actual OpenAI API key.

Note: If you choose to use a different LLM (Language Learning Model), refer to the LangChain documentation and adjust the code as needed.

Usage

You can run individual files with the following command:

python [file_name.py]