LangGraph in Practice: Build, Orchestrate & Deploy AI Agents with Python — From Zero to Production
Format:
Hardcover
En stock
0.69 kg
Sí
Nuevo
Amazon
USA
- LangGraph in Practice: Build, Orchestrate & Deploy AI Agents with Python — From Zero to Production Master AI agent development from the ground up with this step-by-step, code-first guide to building, orchestrating, and deploying intelligent agents using LangGraph, fully integrated with LangChain, LlamaIndex, CrewAI, and AutoGen. This practical book doesn’t just explain concepts — it shows you how to:Build production-ready LangGraph agent workflows with full Python code.Integrate RAG pipelines with LlamaIndex and optimize for retrieval.Combine LangGraph with LangChain’s tool ecosystem for enhanced orchestration.Deploy agents to the cloud using Docker, FastAPI, and CI/CD pipelines.Secure, scale, and monitor agents with real-world best practices.Implement caching, async programming, and parallelism for performance.Every chapter provides working code, flowcharts, and troubleshooting tips so you can follow along, implement, and deploy with confidence. Whether you’re a developer, engineer, or architect, this is the definitive practical guide to building AI agents that work — not just in theory, but in production. Buy now to start coding, deploying, and scaling AI agents the right way.
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