LangGraph Crash Course for Beginners!
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This video introduces the core concepts of LangGraph, exploring its foundations and how it enables the creation of complex LLM workflows. We discuss how LangGraph facilitates robust agent orchestration for AI agents, allowing for sophisticated interactions and applications. Additionally, we touch upon managing state with vector database solutions for efficient long-term memory in large language models.
📂 Get the Code & Notebooks: https://github.com/abhirajsuresh/langraph
What you will learn in…
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Chapters (12)
Introduction & Course Structure
3:40
What is LangGraph? (Framework Overview)
6:12
LangGraph vs. LangChain
7:42
The AI Agent Stack (APIs, Tools, Orchestration)
11:55
Core Concepts: Graphs, Nodes, Edges, & State
16:54
Hands-on 1: Building a "Hello World" Workflow
27:09
Understanding Single Agent Workflows
33:47
Hands-on 2: Chat Agent with OpenAI Integration
39:58
State & Memory Management (Stateful Workflows)
46:54
Hands-on 3: Implementing Memory & History Trimming
52:08
Branching & Conditional Flows (Intent Classification)
56:00
Hands-on 4: Routing to Support vs. Chit
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