Artículo: AMZ-B0G1VGLZQY

MODEL CONTEXT PROTOCOL COOKBOOK: 40+ HANDS-ON PROJECTS FOR BUILDING AGENTIC, CONTEXT-AWARE AI SYSTEMS WITH MCP, LANGCHAIN, LANGGRAPH, AND PYTHON

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Sin stock
Peso con empaque
0.20 kg
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No
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • MCP architecture in action: Build modular, context-aware agents from scratch.
  • LangChain & LangGraph orchestration: Create intelligent, event-driven workflows and graph-based reasoning systems.
  • Retrieval-Augmented Generation (RAG): Build scalable, knowledge-grounded assistants with long-term context awareness.
  • Persistent memory & adaptive behavior: Enable agents to retain and evolve knowledge over time.
  • Deployment & optimization: Scale your MCP systems for real-world performance and production readiness.
  • A real-world use case and architectural overview.
  • Full working Python examples with detailed commentary.
  • Step-by-step walkthroughs for LangChain and LangGraph integration.
  • Expert insights on debugging, scaling, and agent design best practices.
  • AI and ML Engineers seeking real-world MCP applications
  • LangChain and LangGraph developers
  • Python experts exploring advanced agentic frameworks
  • AI researchers and educators designing context-aware systems

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