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LangGraph Mastery: Architecting Intelligent Agent Workflows in Python: A Practical Guide to Building Stateful, Multi-Agent Systems with LangChain's Gr
Paperback
Publisher: Independently Published
Published: Oct 15 2025
Pages: 90
Weight: 0.38
Height: 0.19 Width: 7.00 Depth: 10.00
Language: English
Spanning seven insightful chapters, this book equips you with the tools to transform simple scripts into dynamic, resilient AI ecosystems unlocking the future of agentic AI development.
What you will learn;
1. Introduction to LangGraph: Core concepts, architecture, and its role in the LangChain ecosystem.
2. Setting Up Your Environment: Installation, dependencies, and building your first basic graph.
3. Nodes, Edges, and State Management: Designing graph structures and handling persistent data flows.
4. Integrating LLMs and Tools: Connecting language models, APIs, and custom tools within workflows.
5. Multi-Agent Systems: Orchestrating collaborative agents for complex tasks and interactions.
6. Advanced Features and Optimization: Cycles, conditional branching, error handling, and performance tuning.
7. Real-World Applications and Deployment: Case studies, scaling strategies, and production-ready best practices.
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