LangChain Learning

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

Installation

To get started with this project, follow these steps:

Clone the repository:

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

Create a virtual environment (optional but recommended):
```
python -m venv venv
```
Activate the virtual environment:
- On macOS and Linux:
```
source venv/bin/activate
```
- On Windows:
```
venv\Scripts\activate
```
Install the required packages:
```
pip install -r requirements.txt
```

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.

You can run individual files with the following command:

python [file_name.py]