Llm-Apps-Java-Spring-Ai

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llm-apps-java-spring-ai provides sample applications for building Java Generative AI and LLM-powered applications. It offers examples for chatbot development, RAG, and semantic search using Spring AI and Spring Boot.

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Free tier

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API

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Skill level

Technical

About

What is llm-apps-java-spring-ai?

llm-apps-java-spring-ai is a resource that provides sample applications for developers looking to build Generative AI and Large Language Model (LLM) powered applications using Java. It leverages the Spring AI framework and Spring Boot to offer practical examples. The samples cover various use cases, including chatbot development, question answering with documents (RAG - Retrieval Augmented Generation), and semantic search functionalities. To utilize these samples, users need Java 25 and a containerization tool like Podman or Docker.

Best used for

Building and learning how to develop Generative AI and LLM-powered applications using Java, Spring AI, and Spring Boot.

Common actions

Build AI applications

Develop chatbots

Implement RAG

Perform semantic search

Learn Spring AI

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Capabilities

Key features

Java AI samples
Spring AI integration
Chatbot development
RAG implementation
Semantic search

Target Audience

Java DevelopersSoftware EngineersAI/ML Engineers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Are there any costs associated with using the llm-apps-java-spring-ai samples?

The llm-apps-java-spring-ai project itself is open-source and free to use. However, you may incur costs from the underlying LLM providers (e.g., OpenAI, Google AI) if you use their APIs, and for cloud resources if you deploy your applications.

What are the specific prerequisites for running these sample applications?

To run the samples, you need Java Development Kit (JDK) version 25 installed on your system. Additionally, a containerization tool such as Podman or Docker is required to manage and run the necessary services and models.

Can I use these samples with LLMs other than those demonstrated?

Yes, Spring AI is designed to be LLM-agnostic. While the samples might showcase specific models, the framework allows for integration with various LLM providers. You would typically need to configure the appropriate Spring AI dependencies and API keys for your chosen LLM.

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