#LangChain4j tutorial
230 related articles
·3 min
AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing
A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.
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·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·3 min
Learning AI Agent Development from Scratch: A Beginner's Path and Monetization Guide
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
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·4 min
Self-Study Guide to AI Agent Development: A Complete Path from Zero to Production
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
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·3 min
LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Three-Month Hands-On Guide
A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.
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·2 min
Doubao + Cursor in Practice: AI-Powered Web Scraper Development in One Minute — Full Workflow
Full workflow for using Doubao to generate prompts and Cursor to auto-generate web scraper code. Covers AI chain collaboration, full-stack code generation, and auto-documentation.
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·4 min
5 Viable Paths to Making Money Independently with Python
5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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·3 min
Dify Local Deployment Tutorial: A Beginner's Guide Using Virtual Machine + BT Panel
Step-by-step Dify local deployment guide using VMware, Ubuntu, BT Panel, and Docker. Perfect for beginners with zero Linux experience to set up this open-source AI development platform.
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Tutorials·2 min
Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?
RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
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Tutorials·1 min
Spring AI Alibaba Agent Framework: Three-Layer Architecture and Learning Path
Deep dive into Spring AI Alibaba Agent Framework's three-layer architecture: Spring AI foundation, Graph framework, and Agent Framework, with a recommended learning path for Java developers.
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Tutorials·2 min
Getting Started with LangChain for Enterprise Development: Core Modules and Debugging Tools Explained
Detailed guide to LangChain core modules including prompt templates, output parsers, Chain invocation, LCEL expression language, and LangSmith tracing tools for LLM application development.
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Tutorials·2 min
LangChain Few-Shot Prompt Templates in Practice: A Complete FewShotPromptTemplate Tutorial
Learn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
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Tutorials·3 min
Enterprise RAG Project in Practice: A Complete Guide from Principles to Deployment
Complete guide to enterprise RAG projects covering principles, LangChain implementation, data processing, retrieval optimization, evaluation, and cloud deployment for AI knowledge base applications.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Tutorials·2 min
OpenClaw Step-by-Step Deployment Guide: From Local Installation to Multi-Platform Integration
Step-by-step OpenClaw open-source AI agent deployment guide covering local setup, cloud deployment, WeChat and Feishu integration, and custom Skills development.
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Tutorials·3 min
Fully Automated Invoice Reimbursement with Local AI Agent: From Process Breakdown to Deployment
How to build a fully automated invoice reimbursement system with local AI Agents, covering OCR, info extraction, and form generation with MinerU+Qwen3+Qianwen Po.
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Tutorials·3 min
OpenClaw Local Deployment Tutorial: Connect to WeChat, Feishu & DingTalk in 10 Minutes
Complete guide to deploying OpenClaw locally, covering Windows setup, cloud deployment, WeChat/Feishu/DingTalk integration, and custom Skills—beginners can deploy in 10 minutes.
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