Spring AI with local LLAMA3

Overview

This demo demonstrates the integration of a local LLama3 model for handling JSON responses within the Spring AI framework, positioning the model as a 'business logic' executor. This provides a starting point specifically tailored for simple artificial intelligence workflows, using Java and Spring AI.

Prerequisites

• Java 17/21
• Maven 3.3+ for building and managing the project

Technologies

• Spring Boot: Simplifies the bootstrapping and development of new Spring Framework applications.
• Spring AI: Provides AI capabilities integrated seamlessly with Spring applications. In this project, we use local LLM spring-ai-ollama-spring-boot-starter for integrating the LLama3 llm.
• Ollama: a tool to run Large Language Models locally for manage safe private data.

Getting Started

1. Install and run LLama3 with Ollama:

   ollama run llama3 
   

2. Clone the Repository:

   git clone https://your-repository-url-here
   cd search-book-with-llm
   

3. Build the Application:

   mvn clean install
   

4. Run the Application:

   mvn spring-boot:run