#LangChain
172 related articles
TutorialsGetting 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.
TutorialsLearning 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.
TutorialsDeep 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.
TutorialsFrontend 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.
Deep DivesGetting 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.
TutorialsVibe 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.
TutorialsNestJS + LangChain + Tauri 2: Deep Dive into the 2024 Big Tech AI Full-Stack Development Tech Stack
Deep analysis of big tech AI full-stack tech selection: NestJS server middle platform, LangChain/LangGraph AI orchestration, Tauri 2 cross-platform desktop apps. Covers core skills, Monorepo architecture, RAG scenarios & AI frontend career advice.
TutorialsLangChain Unified Interface in Practice: Complete Guide from Model Invocation to Agent Development
A detailed guide to LangChain's unified interface, comparing model invocation methods, explaining LLM vs Agent differences, with complete Python walkthrough from setup to agent development.
TutorialsLangChain Multi-Agent in Practice: End-to-End Automated Generation of API & UI Test Cases
Build a multi-agent testing system with LangChain and LangGraph for automated test case generation, intelligent review, and Playwright execution across 10 progressive projects.
TutorialsNestJS + LangChain + Tauri 2: A Practical AI Full-Stack Development Solution
An enterprise AI full-stack solution using NestJS, LangChain, LangGraph, and Tauri 2, covering AI service platforms, multi-agent orchestration, RAG, and cross-platform delivery for frontend developers.
TutorialsOpenClaw Agent Architecture in Practice: Skills System Deployment & LangChain Reproduction Guide
Deep dive into OpenClaw's industrial-grade Agent architecture with its three-layer design, pluggable Skills system, and memory management. Includes a step-by-step LangChain reproduction guide with an enterprise HR assistant example.
TutorialsLangChain Unified Interface in Practice: init_chat_model Usage & DeepSeek Troubleshooting Guide
Guide to LangChain's init_chat_model unified interface vs model classes, with DeepSeek V4 Pro thinking mode fix, multi-provider switching tips, and AI Agent integration practices.
TutorialsHow Frontend Engineers Can Systematically Build AI Agent Architecture Skills
How frontend engineers can move beyond API calls to build production AI systems — covering streaming output, BFF layers, RAG pipelines, and Agent orchestration with LangChain.js/LangGraph.js.
TutorialsLangChain Agent Development Tutorial: RAG and Agent Hands-On Learning Path
A systematic learning path for LangChain Agent development covering RAG, autonomous Agent decision-making, and tool calling—from zero to production-ready projects.
TutorialsLangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
TutorialsBuilding an AI Research Assistant with Python + LangChain: Eliminating Academic Hallucinations via MCP
Build an AI research assistant with Python, LangChain, and Consensus MCP. Eliminate LLM hallucinations in academic citations using structured outputs and real-time literature retrieval.
TutorialsLangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
TutorialsLangChain Prompt Templates Explained: A Practical Guide to Few-Shot and Chain-of-Thought
A deep dive into LangChain prompt templates covering ChatPromptTemplate basics, Few-Shot prompting, and Chain-of-Thought techniques with RAG examples to build high-quality prompt pipelines.
TutorialsLangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
TutorialsLangChain Agent Executor Architecture: Building a ReAct Agent from Scratch
Deep dive into LangChain Agent Executor internals, covering the ReAct reasoning-action-observation loop, tool choice strategies, and building a custom Agent Executor from scratch.