#LangChain
186 related articles
Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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Tutorials·3 min
RAG Technology Full-Stack Analysis: Core Principles, Enterprise Implementation & Learning Path
Deep analysis of RAG technology's core principles, three key values, enterprise implementation cases, common pitfalls, and a systematic learning roadmap covering vector databases, retrieval optimization, and Knowledge Graph fusion.
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Tech Frontiers·2 min
Kimi K2.5 Fully Open-Sourced: Deep Dive into 1T Parameter MoE Architecture + Agent Cluster Capabilities
Deep dive into Moonshot AI's fully open-sourced Kimi K2.5: 1T parameter MoE architecture, Vision-to-Code capabilities, and 100-Agent parallel cluster system topping open-source benchmarks.
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Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Tutorials·3 min
Deep Agents: Enterprise-Grade Agent Engineering and Deep Research Implementation Guide
Learn how the Deep Agents framework solves enterprise AI Agent challenges like tool sprawl and context pollution, with a complete Deep Research implementation guide covering task decomposition, multi-source integration, and structured report generation.
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Tutorials
GStack Tutorial: 23 Commands That Give…
·3 min
GStack Tutorial: 23 Commands That Give One Person an Entire AI Development Team
Deep dive into GStack, the open-source toolkit by YC President Gary Tan. 23 slash commands turn Claude Code into a full AI dev team covering product decisions to deployment.
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Tutorials
Frontend to AI Full-Stack: Complete Sk…
·2 min
Frontend to AI Full-Stack: Complete Skill Tree & Learning Roadmap
A complete skill tree for frontend developers transitioning to AI full-stack engineers, covering TypeScript, NestJS, LangChain JS, RAG, vector databases, and Tauri 2 with a clear learning roadmap.
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Tutorials
Agent Loop Explained: Solving Code Ref…
·3 min
Agent Loop Explained: Solving Code Refactoring Pain Points with the ReAct Pattern
Deep dive into Agent Loop, the core mechanism of AI coding tools. Learn how the ReAct pattern's reason-act-observe cycle enables autonomous multi-step code refactoring.
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Deep Dives
Getting Started with RAG: A Complete G…
·3 min
Getting Started with RAG: A Complete Guide from LLM Hallucinations to Retrieval-Augmented Generation
A deep dive into RAG (Retrieval-Augmented Generation) technology, covering LLM hallucinations, data staleness, and limited expertise, plus RAG workflows, core components, and LangChain learning paths.
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Tutorials
LLM Learning Roadmap: A Complete Guide…
·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Tech Frontiers·2 min
Gemini Spark and Daily Brief: A Deep Dive into Google's Two AI Agent Tools
Deep analysis of Google Gemini team's two AI agent tools — Gemini Spark and Daily Brief — covering product positioning, core features, AI Agent trends, and Google's strategic agent ecosystem.
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Product Reviews
Trae Refresh Mode Commands Not Working…
·2 min
Trae Refresh Mode Commands Not Working? A Complete Guide to the Missing Environment Variables Issue
ByteDance's AI tool Trae loses PATH environment variables in refresh mode, making GCC and system commands unrecognizable while AI forces failed executions.
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Tutorials
Vibe Coding in Practice: Building a Mi…
·2 min
Vibe Coding in Practice: Building a Mini-OpenClaw Agent from Scratch Without Writing Code
Learn how to build a Mini-OpenClaw Agent framework using Vibe Coding with zero code, covering OpenClaw's architecture, LangChain integration, and AI-assisted development workflows.
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Tutorials
Cloudflare AI Search in Practice: Buil…
·3 min
Cloudflare AI Search in Practice: Building an Intelligent Knowledge Base Q&A System from Scratch
Complete guide to deploying Cloudflare AI Search managed RAG service, covering R2 data sources, AI Gateway, text chunking, Reranker, and semantic caching for production-grade intelligent search.
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Product Reviews
Major Gemini CLI Update: Three Core Up…
·2 min
Major Gemini CLI Update: Three Core Upgrades to This Free, Open-Source AI Agent Tool
Google's Gemini CLI update brings multimodal processing, agentic AI, and MCP protocol integration. This free, open-source terminal AI agent is evolving into a business automation engine.
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Tutorials
Hermes Agent Practical Guide: From Ins…
·2 min
Hermes Agent Practical Guide: From Installation to Feishu Integration
Guide to Hermes Agent's architecture, installation, Skill extensions, Feishu integration, news bots, Python SDK integration, and automated workflows.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·4 min
A Practical Guide for QA Engineers: Building 18 AI Agents with 5 Essential Tools
Learn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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