Скачать или смотреть LangGraph Tutorial: Build A Multi-Agent Research System From Scratch! (vs LangChain)

Code Link - https://github.com/sjsoumil/Tutorials...

Are you ready to build AI agents that are more powerful, flexible, and efficient than simple chains? Move beyond sequential workflows and unlock the power of parallel processing with LangGraph, the new library from the creators of LangChain.

In this comprehensive tutorial, we break down exactly what LangGraph is and how it revolutionizes the way we build agentic systems. We'll compare LangGraph vs. LangChain, highlighting the key advantages like stateful operations, parallel execution, and graph-based structures that allow for building complex, real-world applications.

Then, we'll get hands-on and guide you step-by-step through building a powerful 360-degree Topic Analyzer. This multi-agent system will:
🔎 Fetch the latest academic research.
📰 Scrape relevant real-time news articles.
💼 Gather key industry insights and trends.
🤖 Run all these tasks in PARALLEL and merge the results into a single, structured report.

Whether you're a developer looking to upgrade your AI agent skills or a data scientist exploring the future of LLM applications, this video is your perfect starting point for mastering LangGraph.

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Timestamp-
0:00 - Introduction to LangGraph
0:29 - LangGraph vs. LangChain: Key Differences
0:47 - The Power of LangGraph: Parallel Execution, Flexibility & Statefulness
1:08 - Project Overview: Building a 360° AI Topic Analyzer
1:27 - Learn GenAI for FREE with Analytics Vidhya
1:44 - CODE: Setup & Importing Libraries
3:10 - Building Different Agent
3:36 - CODE: Building the LangGraph Structure
4:59 - CODE: The Main Run Function
5:12 - DEMO: Running our AI Research Agent!
5:28 - Final Thoughts & Wrap-up