LangChain vs LangGraph: The Ultimate Guide to Building AI Agents | скачать в хорошем качестве

LangChain vs LangGraph: The Ultimate Guide to Building AI Agents |

🚀 ​Welcome back to The Data Key! ​We are moving beyond single LLMs. The future of AI is Multi-Agent Systems—teams of specialized AI agents working together to solve complex problems. But how do you build them? ​In this video, we break down the two most powerful frameworks for building AI agents: LangChain and LangGraph. We explain the critical difference between the "Car" (LangChain) and the "Engine" (LangGraph) and dive into the three main collaboration models: The Supervisor, The Swarm, and The Hierarchy. ​If you are a developer confused about when to use LangChain agents vs. LangGraph state machines, this video gives you the definitive answer. ---------------------------------------------------------------------------------- ​👇 In this video, we cover: 🔹️ ​The Problem: Why single LLMs fail at complex tasks. 🔹️ ​The 3 Agent Architectures: ● ​The Supervisor: Top-down project management. ● ​The Swarm: Decentralized, shared-workspace collaboration. ● ​The Hierarchy: Enterprise-grade "teams of teams." 🔹️ ​The Framework Battle: Why LangChain is for speed 🏎️ and LangGraph is for control ⚙️. 🔹️ ​Real-World Example: Building a Chemistry 🔹️ Research Team (Generalist + Expert + Translator). 🔹️​ When to Use Which: A clear checklist for your next project. ---------------------------------------------------------------------------------- ​📚 Important Resources & Documentation ​Here are the official docs and guides for the tools mentioned in this video: 🔺️ LangChain Documentation (The "Car"): ​ ● https://python.langchain.com/docs/get... ● https://python.langchain.com/docs/mod... ​LangChain Agents Concepts ​🔺️ LangGraph Documentation (The "Engine"): ​ ● https://docs.langchain.com/oss/python... ● https://langchain-ai.github.io/langgr... ​📝 Deep Dives & Blogs: ●​ LangChain Blog on Multi-Agent Collaboration : https://blog.langchain.dev/langgraph-... ● ​Understanding "The Swarm" Architecture (Reference for swarm concepts) : https://github.com/openai/swarm ---------------------------------------------------------------------------------- ​⏳ Timestamps ​00:00 - Intro: Why We Need Teams of AI Agents ​00:39 - The 3 Ways Agents Collaborate ​00:53 - Model 1: The Supervisor (Top-Down Control) ​01:24 - Model 2: The Swarm (Shared Workspace) ​01:55 - Model 3: The Hierarchy (Enterprise Scale) ​02:34 - Practical Example: The Chemistry Research Team ​04:06 - LangChain vs. LangGraph: The Car vs. The Engine ​06:00 - How to Choose: Speed vs. Control? ​07:02 - Conclusion: Mastering the New Era of AI ---------------------------------------------------------------------------------- #langchain #langgraph #aiagents #agenticai #datascience #machinelearningfullcourse #machinelearning #datasciencecourse #newvideo #youtubevideo #scienceandtechnology #aicontent #aiconcept #aigenerated #aitechnology #tech #newconcepts #trendingvideo #viralvideo #linkedin #informationtechnology #dataanalytics #subscribe #pythoncoding #ai #programming #pythontutorial #thedatakey #datasciencebasics #newcreator #youtubecreator #chatgpt #google #googlegemini #newchannel