#retrieval augmented generation
1763 related articles
Tutorials·3 min
Building an Automated Money-Making System with AI Agents: A Multi-Agent Hands-On Tutorial
Learn how to build a full-pipeline automated money-making system using Multi-Agent architecture, covering Customer Service Agent, Cashier Agent, Delivery Agent setup, workflow orchestration, RAG knowledge bases, and MCP tool calling.
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Deep Dives·2 min
Learning AI Isn't Just About Making Money — It's About Making Yourself More Valuable
AI has deeply penetrated healthcare, law, content creation, and more. Learning AI not only boosts efficiency but builds compound skills that make you more valuable in the job market.
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Industry Insights·4 min
In-Depth Analysis of the AI Large Model Job Market: Two Core Directions and Future Trends
In-depth analysis of the AI large model job market, breaking down the two core directions—algorithm research and engineering deployment—covering requirements, barriers, and career prospects.
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Tutorials·2 min
Claude Code DevOps in Practice: Linux VPS Deployment and Infrastructure Automation
A detailed guide on Claude Code for DevOps: Linux VPS secure deployment, permission isolation, Shell automation workflows, and full-stack production deployment from DNS to NGINX and HTTPS.
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Tech Frontiers·2 min
Major Codex Plugin Upgrade: One-Click Install Transforms AI into Professional Role-Based Assistants
OpenAI's Codex plugin system gets a major expansion, connecting 62 mainstream apps and 110 work skills across sales, analytics, creative, design, and investing. One-click install transforms Codex into a professional AI assistant—no coding required.
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Industry Insights·3 min
Career Switching to AI with Zero Background: Is a Three-Month Fast Track Really Feasible?
In-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.
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Tutorials·2 min
Getting Started with Spring AI Alibaba: Best Practices for Java Developers to Integrate LLMs
Deep dive into Spring AI Alibaba's positioning and value, using a JDBC analogy to help Java developers understand how to integrate LLM capabilities into existing microservices architecture.
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Tutorials·3 min
Nature Skills: A Complete Guide to Automating Academic Paper Workflows with Claude Code
Deep dive into the open-source Nature Skills project by a Shanghai Jiao Tong University PhD, automating 7 academic paper workflows via Claude Code's Skills mechanism with 9 Skill writing patterns.
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Tutorials·4 min
Building an Independent E-commerce Site from Scratch with Codex: WordPress + Next.js + Cloudflare in Practice
Senior developer Zhai Lujia demonstrates building an overseas e-commerce site from scratch using OpenAI Codex with Headless WordPress + Next.js + Cloudflare Worker architecture, covering AI collaboration methods and agents.md strategies.
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Tutorials·3 min
GPT-5 Full-Stack in Practice: Complete Tutorial for Building a Gas Meter Recognition Mini Program from Scratch
Complete walkthrough of building a gas meter OCR mini program from scratch using GPT-5 + Cursor, covering UniApp frontend, Alibaba Cloud OCR API, cloud database, and admin panel development.
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Tutorials·4 min
Core Methodology of Prompt Engineering: Principles, Techniques, and Complete Practical Guide
Deep analysis of Prompt Engineering core methodology: from LLM principles to the three key principles of specific, rich, and unambiguous prompts, plus programming advantages in the AI era.
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Tutorials·4 min
Practical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
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Tutorials·2 min
The Fatal Flaws of Using Doubao/DeepSeek to Write Paper Drafts — And the Right Approach
Analysis of critical risks when using Doubao, DeepSeek, or other AI tools to generate paper drafts, including fabricated references and high AI detection rates, with an efficient CNKI + DeepSeek writing workflow.
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Product Reviews·3 min
GPT-5.1 Deep Dive: 10 Core Features That Transform AI from Chat Tool to Work Partner
Deep dive into GPT-5.1's 10 core feature upgrades including dual-mode switching, project agents, coding assistance, tool orchestration, and 24-hour prompt caching to boost your productivity.
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Product Reviews·3 min
Cursor 1.0 Officially Released: A Complete Breakdown of Five Core Features
Cursor 1.0 officially released, jumping from 0.50 to 1.0. Detailed analysis of BugBot code review, Background Agent, preference memory, one-click MCP install, and Jupyter Notebook enhancement.
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Tutorials·3 min
Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap
Deep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.
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Tutorials·3 min
AnythingLLM Installation & Configuration Guide: Building a Local Knowledge Base with API Integration
Complete guide to AnythingLLM local knowledge base setup: installation tips, Ollama model configuration, document vectorization, recall optimization, and API integration.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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