#document summarization
298 related articles
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
SDD (Specification-Driven Development) in Practice: AI Programming Methodology from Cursor to Claude Code
Deep dive into SDD (Specification-Driven Development) methodology covering Cursor and Claude Code in practice—from intelligent data querying to enterprise compliance platforms across four progressive projects.
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Tutorials·2 min
Practical Guide to Claude Code Context Management: compact, clear, and context Commands Explained
Detailed guide to Claude Code context window management: /compact, /clear, and /context commands with usage scenarios and optimization tips for AI coding productivity.
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Industry Insights·3 min
Behind Apple AI's Repeated Delays: The 14-Year Internal Struggle of Siri Revealed
Why does Apple Intelligence keep getting delayed? From Siri's acquisition to AI team infighting, a deep dive into the organizational failures behind Apple's AI struggles.
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Tutorials·3 min
AI Programming in Practice: Great Skills Don't Need to Be Handwritten — Let Them Emerge from Real-World Experience
Learn how to let AI automatically distill reusable Skill prompts through a K8S cluster setup case. From task execution to problem discovery and iterative fixes, master the right methodology for knowledge management in the AI era.
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Tutorials·3 min
AI Programming in Practice: Great Skills Don't Need to Be Handwritten — Let Them Emerge from Real-World Experience
Learn how to let AI automatically distill reusable Skill prompts through a K8S cluster setup case. From task execution to problem discovery and iterative fixes, master the right methodology for knowledge management in the AI era.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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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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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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Tutorials·3 min
Integrating AI Models with Zotero 9: Complete Configuration Guide for Doubao and DeepSeek
Complete guide to integrating Doubao and DeepSeek AI models with Zotero 9 for paper summarization, full-text translation, and intelligent Q&A.
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Tutorials·3 min
Coze Skill Packs Fully Explained: From Concept to Hands-On Creation Guide
Deep dive into Coze's Skill feature: progressive disclosure concepts, practical cases in comic generation and contract review, two creation methods, and layered SOP design principles.
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Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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Product Reviews·3 min
9 AI Search Tools Compared: Choosing the Right Search Solution for Your Agent
Hands-on comparison of 9 AI search tools including Tavily, Exa, XCrawl, and Firecrawl across search accuracy, web crawling, SERP aggregation, and special features to help developers choose the right search solution for AI Agents.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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Product Reviews·2 min
Wanxing Mind Map: A Practical Guide for Lawyers to Efficiently Organize Recordings and Transcripts with AI
How Wanxing Mind Map's AI file parsing helps lawyers auto-transcribe recordings and transcripts into mind maps, covering litigation evidence and criminal defense.
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Tutorials·3 min
Complete Guide to Integrating AI CLI with Obsidian: Let AI Understand Your Entire Note Vault
Learn how to run Claude Code, Gemini CLI, and other AI CLI tools in Obsidian via the Terminal plugin for vault-wide awareness, note summarization, and more.
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Tutorials·3 min
Spring AI + MCP Protocol in Practice: Tool Calling, Security Authentication, and Enterprise Deployment
Deep dive into Spring AI and MCP protocol integration, covering tool calling, OAuth security, horizontal scaling, and context optimization for enterprise AI Agent services.
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Industry Insights·4 min
Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
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Tutorials·3 min
Claude Code Source Code Study Guide: Efficiently Mastering Core AI Agent Development Architecture
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.
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