AI Agents and Applications with LangChain, LangGraph, and MCP: Advanced Techniques for Professional Developers in Agent Orchestration and Tool ... Developer’s Guide to Autonomous AI Agents)
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Graph Machine Learning Mastery: A Complete Guide to Graph Neural Networks, Graph Transformers, Temporal GNNs, and LLM-Powered Graph AI with PyTorch Geometric & DGL
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Agent-to-Agent Communication: A Hands-On Guide to Building Multi-Agent Systems with LangGraph, MCP, and LLM Workflows
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Mastering Retrieval-Augmented Generation Workflows with GraphRAG: A Practical Guide to Knowledge-Graph-Powered Retrieval, Context Modeling, and High-Accuracy AI Generation
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AP MACROECONOMICS & MICROECONOMICS STUDY GUIDE 2026-2027: 2 Full length, Study Guide for Graph Explanations, FRQs, MCQs, Formulas, Key Terms, Practice Test & Proven Strategies to Score a 5
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DeepSeek R1: Building Collaborative Multi-Agent Systems for Real-World Tasks: A Hands-On Guide to Agent Design, Coordination, Communication Protocols, ... Systems, LangFlow, RAG, and Knowledge-Graph)
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Mastering Agentic AI: Build Production Multi-Agent Systems with Claude 3.5 and LangGraph Directly in VS Code: A Hands-On Guide to Designing, Orchestrating, and Deploying Autonomous Multi-Agent Systems
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Engineering with Claude: Building Advanced Agentic Workflows with Claude, LangGraph, and MCP- A Developer’s Guide to Designing, Orchestrating, and ... with Claude: The Developer’s Trilogy)
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Building Agentic AI Systems with RAG and MCP: A Developer’s Guide to Designing, Orchestrating, and Scaling Multi-Agent Workflows with LangGraph and OpenAI’s Model Context Protocol
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LangGraph Mastery: Architecting Intelligent Agent Workflows in Python: A Practical Guide to Building Stateful, Multi-Agent Systems with LangChain's Graph Framework
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Designing Knowledge Graphs with Neo4j: A Practical Guide to Modeling, Building, and Scaling Intelligent Graph Systems
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Graph AI Systems Engineering: A Complete Guide to GraphRAG and Graph Machine Learning forScalable AI Systems with Python and PyTorch Geometric
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