Скачать или смотреть LangGraph: The End of LangChain? 🤔 Build Powerful AI Agents (Hindi + English)

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Is LangGraph the future of building powerful, complex, and stateful AI Agents? In this video, we dive deep into LangGraph, the groundbreaking open-source framework that takes your AI workflows beyond simple, linear chains.

We'll break down the core differences between LangGraph and the popular LangChain, using a simple analogy you won't forget. Discover how LangGraph's ability to create graph-based, parallel-processing workflows can revolutionize the way you build AI applications.

🔥 In this video, you will learn:
What is LangGraph? A clear, simple explanation.
LangGraph vs. LangChain: The key differences and why it matters.
Core Advantages: Understand Parallel Execution, High Flexibility, and Stateful Operations.
Hands-On Project: We'll build a complete AI Research Agent from scratch that gathers academic, news, and industry insights on any topic!
Complete Code Walkthrough: We go line-by-line through the Python code, explaining every step from setting up API keys to building the graph and getting the final, structured report.

This tutorial is perfect for developers, AI enthusiasts, and data scientists who want to level up their Generative AI skills.

Timestamps
00:00 - What is LangGraph? (Introduction)
00:27 - LangGraph vs. LangChain: The Core Difference
00:44 - 3 Key Advantages of LangGraph
01:08 - Practical Use Case: Building an AI Research Agent
01:36 - CODE WALKTHROUGH STARTS
01:39 - Step 1: Setup & Importing Libraries
01:53 - Step 2: Securely Loading API Keys (OpenAI & Serper)
02:10 - Step 3: Initializing the Language Model (LLM)
02:28 - Step 4: Defining the State Schema (The "Shared Brain")
02:48 - Step 5: Creating the Web Search Tool
03:03 - Step 6: Building the Agent Functions (Academic, News, Industry)
03:27 - Step 7: The Final Agent - Merge & Summarize
03:37 - The Magic of LangGraph: Building the Graph Structure
03:50 - Adding Nodes & Edges for Parallel Execution
04:27 - Running the Topic Analyzer & Final Output
04:55 - Why You MUST Try LangGraph
05:13 - Like, Subscribe & Next Steps!

🔗 Resources:
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#LangGraph #LangChain #GenerativeAI #AIAgents #Python #OpenAI #LLM #AnalyticsVidhya #ArtificialIntelligence