Example LangChain Chains

This project demonstrates how to use LangChain to create and manage language model chains using LangChain's Expression Language (LCEL).

Prerequisites

Before you start, ensure you have Python 3.9 or higher installed on your system. You will also need pip for installing the dependencies.

Installation

1. Clone this repository to your local machine.
2. Navigate to the project directory.
3. Install the required dependencies by running:

pip install -r requirements.txt

The requirements.txt file includes the following packages:

• dotenv
• langchain
• langchain_openai
• langchain_core

Configuration

To configure the project, you need to set up your environment variables:

1. Copy the example.env file to a new file named .env.
2. Replace YOUR_OPENAI_API_KEY and YOUR_SERP_API_KEY with your actual API keys.

OPENAI_API_KEY=YOUR_OPENAI_API_KEY
SERP_API_KEY=YOUR_SERP_API_KEY

Ensure that the .env file is listed in your .gitignore to keep your API keys secure.

Running the Project

To run the project, execute the following command in your terminal:

python3 app.py

This script will start the application using the configuration specified in your .env file. Look at the example.env file for the expected variables.