#Spring Boot AI integration
105 related articles
Tutorials·3 min
LangGraph Multi-Agent Architecture: Core Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
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Tech Frontiers·3 min
Tech Weekly: OpenAI Swarm Framework, Claude Data Visualization & Lightweight OS Analysis
This week's tech roundup analyzes OpenAI's Swarm Agent framework, Anthropic's Claude data visualization app, Kali Linux, Unikraft lightweight OS, and Go Blueprint — covering AI, security, and cloud computing.
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Tutorials·3 min
Getting 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.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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Tutorials·2 min
Frontend to AI Full-Stack: Complete Skill Tree & Learning Roadmap
A complete skill tree for frontend developers transitioning to AI full-stack engineers, covering TypeScript, NestJS, LangChain JS, RAG, vector databases, and Tauri 2 with a clear learning roadmap.
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Tutorials·2 min
Spring 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.
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Tutorials·2 min
Java 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.
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Product Reviews·3 min
Cursor Composite vs Windsurf SWE 1.5: Three Rounds of Real-World Testing to Determine the Best AI Coding Model
Three progressive real-world tests comparing Cursor Composite and Windsurf SWE 1.5 proprietary AI coding models across HTML games, e-commerce pages, and full-stack systems.
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Tutorials·2 min
Dify Java Client: Best Practices for Integrating AI into Java Projects
dify-java-client is an open-source Java client library for integrating Dify's generative AI capabilities. It supports chat, text generation, workflows, and knowledge base APIs with streaming responses and type-safe wrappers for enterprise scenarios.
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Product Reviews·3 min
AIFlowy: A Java-Based Alternative to Dify for Enterprise AI Application Development
AIFlowy is an open-source AI app development platform built on Java, rivaling Dify and Coze with visual workflow orchestration, multi-model support, and RAG capabilities for enterprise teams.
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Tutorials·4 min
A 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.
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Product Reviews·4 min
OpenClaw4J: 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.
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Tutorials·3 min
Programmer Yupi's AI Resource Collection: A Complete Learning Path from Zero to Production
A deep dive into the popular GitHub project liyupi/ai-guide covering Vibe Coding tutorials, LLM usage, AI coding tools (Cursor/Claude Code), Prompts, RAG/MCP/Agent concepts — a 13,000+ Stars Chinese AI learning resource hub.
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Product Reviews·1 min
RuoYi-Vue-Pro: In-Depth Analysis of an Enterprise-Grade Full-Stack Development Platform
Deep dive into RuoYi-Vue-Pro, a 36K+ star enterprise Java platform with SaaS multi-tenancy, workflow engine, CRM, ERP, AI, and IoT capabilities.
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Deep Dives·3 min
LangChain4j Explained: The Go-To Framework for Java Developers Building LLM Applications
A deep dive into LangChain4j's core features including unified API abstraction, RAG, Agent tool calling, and Spring Boot integration for building enterprise AI apps in Java.
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Product Reviews·4 min
RuoYi-AI Open Source Framework: A One-Stop Solution for Java Enterprise AI Application Development
A deep dive into RuoYi-AI, a Java-based enterprise AI development platform supporting multi-vendor LLM integration, RAG knowledge bases, and agent orchestration. 5,200+ Stars on GitHub.
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Product Reviews·4 min
RuoYi-Vue-Pro Deep Dive: A 37K Star Enterprise-Grade Java Full-Stack Development Platform
Deep dive into RuoYi-Vue-Pro: a 37K Star enterprise Java platform built on Spring Boot + MyBatis Plus + Vue, with multi-tenancy, workflows, CRM, ERP, and AI modules.
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Product Reviews·4 min
Deep Dive into RuoYi-Vue-Pro: A 37K Star Enterprise-Grade Java Full-Stack Development Framework
Deep dive into RuoYi-Vue-Pro: a Spring Boot + Vue enterprise backend system with 37K Stars, featuring SaaS multi-tenancy, workflow, e-commerce, CRM, ERP, AI, and IoT modules.
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Product Reviews·3 min
RuoYi-Vue-Pro Deep Dive: A 36k Star Enterprise-Grade Java Development Platform
Deep dive into RuoYi-Vue-Pro: an enterprise-grade full-stack platform built on Spring Boot + Vue with 36k+ GitHub Stars, featuring RBAC, workflow, e-commerce, CRM, ERP, AI, and IoT modules.
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Product Reviews·4 min
RuoYi-Vue-Pro Deep Dive: A 37K Star Enterprise-Grade Java Development Platform
Deep dive into RuoYi-Vue-Pro: a 37K Star enterprise Java platform built on Spring Boot + MyBatis Plus, featuring RBAC, SaaS multi-tenancy, workflows, and AI/IoT modules.
Read more →