🤖 LangChain4j Getting Started: Build Your First AI Application

This repository demonstrates how to build a very simple AI Chat Application using LangChain4j and Spring Boot. The application exposes a REST API endpoint that allows you to interact with Large Language Models (LLMs), translating natural language questions into intelligent AI responses.

📖 Complete Guide: For detailed explanations and a full code walkthrough, read our comprehensive tutorial.
👉 LangChain4j Getting Started: A Simple Guide for Beginners

🎥 Video Tutorial: Prefer hands-on learning? Watch our step-by-step implementation guide.
👉 YouTube Tutorial - Getting Started with LangChain4j | Build Your First AI Chat API

▶️ Watch on YouTube

---

✨ What This Project Demonstrates

This application showcases how to integrate LangChain4j with Spring Boot:

• LangChain4j Spring Boot Integration - Seamlessly connecting LLMs to the Spring ecosystem using the specialized starter.
• Unified Model API - Communicating with models like OpenAI using the standardized ChatModel interface.
• RESTful AI Interaction - A simple chat endpoint that serves as a bridge between user prompts and AI reasoning.

---

🛠️ Prerequisites

To run this application, you will need the following:

1. OpenRouter API Key: This project uses OpenRouter to access free AI models.
   • Sign up at OpenRouter.ai to generate your key.
2. Setup Environment Variables: Set your API key as an environment variable:

# Set your OpenRouter API Key
export OPENROUTER_API_KEY=your_api_key_here

---

🚀 How to Run and Test

For detailed instructions on how to set up, configure, and test the application, kindly go through our comprehensive article:
👉 Click here for Setup & Testing Instructions

---