#retrieval-augmented generation
231 related articles
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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Deep Dives·3 min
Deep Dive into How OpenClaw (Open-Source Crayfish) AI Agent Works
Deep analysis of OpenClaw AI Agent internals: System Prompt, tool calling, SubAgents, Skill system, memory, and Context Engineering explained.
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Product Reviews·2 min
GPT-5.1 vs Claude Sonnet 4.5 Hands-On Comparison: Coding, Writing, and Creativity Benchmarked
Hands-on comparison of GPT-5.1 vs Claude Sonnet 4.5 across long-form writing, classical poetry, front-end coding, and UI reproduction to help you pick the right AI model.
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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
How to Switch to Full-Power Claude 4 in Cursor: Enable Max Mode to Boost Your Coding Efficiency
Learn how to switch to full-power Claude Opus 4 in Cursor, enable Max mode, manage quotas, and optimize prompts to dramatically boost your AI coding efficiency.
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Tutorials·3 min
Andrew Ng Recommends Claude Code: From Getting Started to Figma-to-Web App in Practice
Andrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data analysis, and Figma-to-web apps, with MCP server integration and parallel session best practices.
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Tutorials·3 min
Practical Guide to Configuring MCP Servers and Extensions in Gemini CLI
Learn how MCP servers work in Gemini CLI and how to configure them. Step-by-step guide using Context7 and Firebase extensions to expand AI coding capabilities.
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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
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
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Tutorials·3 min
Alibaba Cloud Bailian Platform Hands-On: Complete Tutorial from API Calls to Multi-Turn Conversations
Complete tutorial on Alibaba Cloud Bailian platform covering API Key setup, Qwen model calls, streaming output, multi-turn conversation principles, and prompt engineering with four roles.
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Deep Dives·4 min
AI Hallucinations: Why Large Language Models Inevitably "Make Things Up" and How to Deal With It
Deep dive into AI hallucination's three root causes: training objective flaws, exposure bias, and probabilistic generation. Covers classification and practical mitigation strategies including RAG.
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Tech Frontiers
Major Firebase Update: Comprehensive A…
·3 min
Major Firebase Update: Comprehensive AI Integration and Agent Skills Upgrade
Firebase announces major updates including AntiGravity integration, Android Studio Agent Mode, AI Logic security enhancements, Google Maps grounding, and hybrid AI inference support.
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Tutorials·2 min
Ollama Local LLM Deployment: From Installation to Conversation in Three Steps
Learn how to deploy LLMs locally with Ollama in three simple steps: install, choose a model, and run. No coding required, supports offline use, and completely free.
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Deep Dives·3 min
MCP (Model Context Protocol): Solving the Three Core Pain Points of AI Tool Calling
Deep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
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Industry Insights·3 min
The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave
Since 2025, AI-driven tech layoffs intensify with 75% of coding work coverable by AI. This article analyzes programmers' structural elimination crisis and the transformation path from code workers to AI architects.
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Expert Opinions·2 min
Stop Chasing AI Tools: The Right Approach Is Using AI Agents to Solve Real Problems
Learned tons of AI courses but can't apply them? This article reveals the right direction: stop chasing tools, use AI agents to solve real business problems with 10x efficiency gains.
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Tutorials·2 min
Two MCP Plugins Combined: Solving Claude Code's Memory Loss Problem in Large Projects
Claude Code loses memory on large projects? Learn how Cloud Context and Context Mode MCP plugins combine vector-indexed retrieval with 98% compression to solve context window overflow.
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Tutorials·2 min
Claude Code Four-Step Workflow: A Practical Guide to Explore → Plan → Code → Commit
Master the Claude Code four-step workflow: Explore project context, Plan actions, Code collaboratively, and Commit with review. Shift error correction left to dramatically boost AI coding efficiency.
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Deep Dives·2 min
Getting Started with Claude Code: Three Core Capabilities and Usage Guide
A deep dive into Claude Code's core capabilities: understanding codebases, autonomously executing commands, and searching the web. Learn key concepts like context windows and permission control.
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