This repository provides example code for using Spring AI with Alibaba's AI services and other LLM providers. It targets developers building AI-powered applications with Spring Boot, offering practical demonstrations of various AI functionalities like chat, RAG, and multimodal interactions. The examples aim to showcase best practices and facilitate rapid adoption of these technologies.

How It Works

The project is structured into modular sub-projects, each demonstrating a specific AI capability or integration. For instance, chat examples are further categorized by the underlying LLM provider (DashScope, OpenAI, Ollama, etc.). This modular approach allows developers to easily find and adapt relevant code snippets for their specific use cases, promoting code reusability and clear understanding of different AI model integrations within the Spring ecosystem.

Quick Start & Requirements

• Installation: Clone the repository and import the relevant sub-project into an IDE that supports Maven (e.g., IntelliJ IDEA, Eclipse).
• Prerequisites: Java Development Kit (JDK) 17 or later, Apache Maven. Specific examples may require API keys for services like DashScope, OpenAI, or others. Some RAG examples may require running vector databases like Elasticsearch, Milvus, or PostgreSQL with pgvector.
• Setup: Estimated setup time is minimal for basic examples, but configuring API keys and external services will add time.
• Documentation: Refer to individual README.md files within each sub-project for detailed instructions and specific requirements.

Highlighted Details

• Demonstrates integration with a wide range of LLM providers including DashScope, OpenAI, Ollama, ZhiPuAI, and Moonshot.
• Includes examples for Retrieval Augmented Generation (RAG) with Elasticsearch, Milvus, and pgvector.
• Showcases multimodal capabilities with DashScope and Ark (Volcano Ark), including image and audio processing.
• Features examples for Spring Cloud ecosystem integrations like Nacos, Higress, and Kong, along with observability and prompt templating.

Maintenance & Community

The project is actively under development, with a roadmap available in Roadmap.md. Contributions are welcomed from the community.

Licensing & Compatibility

The repository appears to be licensed under the Apache License 2.0, which is permissive and generally compatible with commercial use and closed-source applications.

Limitations & Caveats

The project is described as "under construction," indicating that some examples may be incomplete or subject to change. Developers should consult the Roadmap.md for future plans and potential breaking changes.