#Retrieval-Augmented Generation
1671 related articles
Product Reviews·4 min
AI Frontend Design Showdown: Opus 4.5 Dominates with a Single Markdown Skill File
Real-world comparison of Opus 4.5, Gemini 3 Pro, and GPT 5.2 frontend design capabilities. Opus 4.5 goes from worst to best with a Markdown skill file. Includes setup tutorial and full test results.
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Product Reviews·4 min
GPT-5.2, Claude 4.5, Gemini 3 Pro Hands-On Comparison: 2025 Buying Guide
2025 hands-on comparison of GPT-5.2, Claude Sonnet 4.5, Gemini 3 Pro, and Grok 4.1 across image generation, deep research, writing, and reasoning, with pros/cons summary and budget-friendly access tips.
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Product Reviews·3 min
Trae + Gemini for HarmonyOS Incoming Call Simulator: 70% AI-Generated Code, Completed in 5 Days
Developer uses Trae + Gemini 3 Pro to build a HarmonyOS incoming call simulator with 70% AI-generated code, compressing 10 days of work to 5. Covers four core modules, AI limitations, and practical tips.
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Deep Dives·1 min
Ralph Loop: The New AI Programming Paradigm That Beats Multi-Agent Systems Through Iterative Trial and Error
Ralph Loop is a 2025 AI programming paradigm: a memoryless AI Agent repeatedly reads the same Prompt, accumulates experience via file systems, beating multi-agent architectures through iterative loops.
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Tutorials·1 min
AI Crop Pest & Disease Early Warning System: A Detailed RAG + Agent Implementation Guide for Graduation Projects
A detailed guide to building an AI crop pest early warning system for graduation projects, covering image recognition, RAG knowledge retrieval, Agent-based alerting, data visualization, and weather monitoring.
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Tutorials·2 min
Hermes Agent Configuration Tutorial: Build an AI Automation Workflow in Six Steps
Learn to configure Hermes Agent in 6 steps: Graphify saves 71x tokens, Smart Model Router cuts 70% costs, crawler matrix for web perception, and browser automation.
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Tutorials·2 min
Harness Engineering Explained: A Guide to Building a Four-Step Closed-Loop AI Agent Work System
A deep dive into the Harness Engineering four-step closed-loop principle (Goal, Action, Verification, Memory), clarifying its relationship with Prompt Engineering, Context Engineering, and MCP.
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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Tutorials·4 min
Windsurf Credit Refill Plugin Hands-On: Auto Credit Refresh + Multi-Window Concurrency Tutorial
Hands-on review of Windsurf refill plugin: auto credit refresh, seamless account switching, and persistent conversations. Compares script injection vs MCP approaches with multi-window concurrency tips and risk warnings.
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Tutorials·5 min
What to Do When Your Windsurf Free Credits Run Out? A One-Click Account Switching Plugin for Unlimited Refills
What to do when Windsurf free credits run out? This article details a seamless account-switching plugin that auto-switches accounts with one click — no logout, passwords, or Token copying needed.
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Tutorials·4 min
AI Agent Memory Architecture Design: Four-Layer Partitioning + Bitemporal Modeling Practical Guide
A deep dive into production-grade AI Agent memory architecture covering four-layer partitioning, bitemporal modeling, and skill extraction to eliminate hallucinations and historical amnesia.
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Product Reviews·3 min
Jules Review: Is Google's Free AI Coding Agent Worth It? A Deep Comparison with Cursor
Deep review of Google's free AI coding agent Jules — covering GitHub integration, async coding, voice summaries, and a full comparison with Cursor and GitHub Copilot.
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Tutorials·2 min
Coze Knowledge Base Setup Tutorial: A Practical Guide to RAG Retrieval and Workflow Configuration
Learn how to build a Coze knowledge base with RAG retrieval and workflow configuration. Covers document chunking strategies, agent setup, and enterprise Q&A.
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Tutorials·1 min
DeepSeek + RAGFlow Local Deployment AI Knowledge Base Tutorial (2025 Latest)
Step-by-step guide to locally deploy a personal AI knowledge base with DeepSeek + RAGFlow + Ollama. Covers RAG principles, Ollama setup, Docker deployment, and knowledge base optimization.
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Tutorials·2 min
Claude Code Investment Research Tool: A Detailed Guide to AStockData Skill's Six Free Data Modules for China A-Shares
Detailed guide to AStockData, a free Claude Code Skill covering A-share K-lines, research reports, Dragon Tiger Lists, news, financials & announcements — no API Key required.
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Tutorials·2 min
Streamlining AI Agents from 10 to 5: How the Single Responsibility Principle Doubled Efficiency — A Practical Retrospective
Real-world guide to streamlining AI Agents from 10 to 5 using the Single Responsibility Principle, doubling efficiency with focused agents for memory, design, copy, video, and publishing.
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Product Reviews·2 min
Qoder 1.0 In-Depth Review: How Good Is This AI Autonomous Coding Platform Really?
In-depth review of Alibaba's Qoder 1.0: Quest task units, Multi-Agent expert teams, Knowledge Engine, and comparison with Codex, Claude Code, and other competitors.
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Deep Dives·2 min
LangChain Core Architecture Explained: A Practical Guide to Its Five Key Modules
Deep dive into LangChain's five core modules: Model I/O, Data Connection & Retrieval, Chains, Agents, and Memory. Learn RAG workflows, Agent decision-making, and practical AI app development.
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Tutorials·2 min
Engineering AI Agents for Production: Four Key Challenges and a 12-Week Implementation Roadmap
90% of AI Agent projects stall at the demo stage due to insufficient engineering. This article breaks down four core challenges and provides a 12-week actionable roadmap to production.
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Tech Frontiers·3 min
Google Jules Officially Launches: How Critical Agents Are Redefining AI Programming
Google's AI coding agent Jules exits Beta, now available to all developers. Features include Critical Agent for proactive code review, environment snapshots, web browsing, and seamless GitHub PR creation.
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