LangChain RAG Implementation Example (v1.0.0)

[tylin7111095022]

This example demonstrates how to implement a RAG (Retrieval-Augmented Generation) application using LangChain version 1.0.0.

🚀 Quick Start Guide

1. Prerequisites

You must first install the uv package to manage dependencies and your virtual environment efficiently.

# Install uv (if you haven't already)
pip install uv

2. Install Dependencies

Use the uv sync command. This will create a virtual environment and install all necessary packages defined for the project.

uv sync

3. Configuration

Create a file named .env in the project's root directory and include your OpenAI API key:

OPENAI_API_KEY="YOUR_OPENAI_API_KEY"

4. Run the Application

Execute the main script to run the RAG application:

python main.py