Build Advanced AI Agents Quickly: LangGraph Studio Tutorial
93Build powerful multi-agent AI systems with LangGraph Studio! This detailed tutorial takes you from beginner to advanced, showcasing the power and ease of LangGraph for AI development.
Chapters:
00:00 Introduction to LangGraph Studio
00:32 LangGraph Studio vs. Crew AI
01:24 Setting up LangGraph Studio
02:56 Creating a Basic LangGraph Project
04:12 LangGraph Workflow: Nodes, Edges, and State
06:18 Adding and Testing Nodes
09:03 Integrating OpenAI LLMs
10:30 Creating and Using Tools in LangGraph
14:55 Troubleshooting Tool Calls
16:12 Using LangGraph's ToolNode Function
17:29 Integrating OpenWeather API (Optional)
18:59 Building a Multi-Agent System
24:33 Demo 1: Comparative Economic Analysis
26:12 Inter-Agent Communication
28:33 Demo 2: Infant Mortality Rate Research
30:57 Demo 3: Maternal Mortality Rate Research
31:49 Demo 4: GDP Share Analysis
32:54 Advanced Techniques and Best Practices
Hope you learn to leverage the power of Langchain, Python, and LangGraph Studio to create efficient and adaptable AI systems. Let me know your thoughts in the comments section and subscribe for more AI development tutorials! Thank you for watching.
Links mentioned in the video:
Fina code of this tutorial: https://github.com/KoushikJit/langgraph-researcher
LangGraph Studio version releases: https://github.com/langchain-ai/langgraph-studio/releases
Bare bones LangGraph project: https://github.com/KoushikJit/langgraph-base
Define Custom tools in LangGraph: https://python.langchain.com/v0.1/docs/modules/tools/custom_tools/