spring-ai-alibaba/examples resource

Health v2 · maintenance only

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2861 stars · 1204 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of example modules demonstrating Spring AI and Spring AI Alibaba usage, from basic chat and image generation to RAG, MCP, tool calling, and multi-agent workflows. It serves as the official quickstart and best-practice reference for Java developers building AI applications with the Spring AI Alibaba framework.

Use cases

• learn how to build AI agents in Java with Spring
• get started with Spring AI Alibaba examples
• build a RAG application in Java
• implement tool calling with an LLM in Spring
• orchestrate multi-agent workflows with a graph runtime
• integrate DashScope or OpenAI models into a Spring Boot app
• see MCP (Model Context Protocol) usage examples in Java

When to choose

• you are a Java/Spring developer learning Spring AI or Spring AI Alibaba
• you want runnable reference code for chat, RAG, tool calling, or MCP
• you need quickstart templates with documented env vars and commands
• you want best practices for agent and multi-agent patterns on the JVM

When to avoid

• you need a production library rather than sample code - use the main spring-ai-alibaba repo
• you work outside the JVM/Spring ecosystem
• you want a framework-agnostic or Python AI agent toolkit
• you need a GUI tool for agent visualization - use Spring AI Alibaba Studio/Admin instead

Facets

learning-resource · maturity active

agent-framework rag mcp chatbot prompt-engineering sdk artificial-intelligence large-language-models developer-tools tutorials web-development jvm cross-platform spring-ai spring-ai-alibaba examples dashscope react-agent multi-agent workflow-orchestration java llm tool-calling graph-runtime ai-agents retrieval-augmented-generation spring maven

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markdown · JSON · MCP: product_card(name="spring-ai-alibaba/examples")