#Spring AI
34 related articles
TutorialsThe Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
TutorialsGetting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
TutorialsMCP Protocol Beginner's Guide: AI Model Context Protocol Architecture & Practical Integration
A detailed guide to MCP (Model Context Protocol) covering its three-layer architecture, ecosystem marketplace, and practical integration for connecting AI models with external tools.
TutorialsSpring AI Getting Started Tutorial: Environment Setup, Version Requirements & Core Concepts Explained
Spring AI getting started guide covering JDK 17 setup, Spring Boot 3.4 requirements, core concepts like Chat Completion and Tokens, helping Java developers quickly build AI applications.
TutorialsSpring AI in Practice: Building a Text-to-SQL Agent Tool Chain from Scratch
Build a Text-to-SQL assistant using Spring AI Alibaba Agent Framework with a four-step Tool chain, plus solving ThreadLocal failures in stream mode with RunnableConfig.
TutorialsSpring AI 2.0 in Practice: Build a RAG Knowledge Base Q&A System in One Hour
Build a RAG enterprise knowledge base Q&A system from scratch using Spring AI 2.0 and Cursor AI. Covers Ollama local LLM deployment, Redis vector database, document parsing, vectorization, and intelligent retrieval.
TutorialsJava Developers Transitioning to AI/LLM: Essential Skills and Practical Guide for 2025
How can Java developers transition to AI/LLM? This guide covers 10 core skills including Spring AI, LangChain4j, RAG, and DeepSeek API integration with practical tips.
Product ReviewsPaiAgent: A Lightweight AI Workflow Orchestration System Built with Vibe Coding
Deep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
TutorialsJava Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
Deep DivesThe Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
Deep DivesFrom Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
TutorialsA Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
Product ReviewsOpenClaw4J: Deep Dive into a Java 21 + Spring AI Agent Framework
Deep dive into OpenClaw4J, an intelligent Agent framework built on Java 21 virtual threads and Spring AI, supporting tool calling, memory management, and multi-Agent collaboration for enterprise Java developers.
TutorialsSpring AI in Practice: From Love Guru to ReAct Autonomous Planning Agent Development Guide
A practical guide to building AI Agents with Spring Boot 3, Java 21, and Spring AI — covering RAG, Tool Calling, MCP protocol, and ReAct pattern with the yu-ai-agent open-source project.