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LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, LangChain
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Building LLM Workflows: Engineer Scalable AI Systems Using LangChain, LangGraph, RAG, and OpenAI Tools.
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Building LLM-Powered Applications with Neo4j: Design intelligent graph-based search, recommendations, and RAG pipelines using Spring AI, LangChain4j, and Haystack
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Applied Context Engineering for LLMs: A Practical Guide to Building Modular, Interpretable NLP Systems with LangGraph, RAG Pipelines, and Prompt-Based Design
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The Complete Guide to Graph-R1: Building Multi-Turn GraphRAG Systems and Hypergraph-Driven AI Agents for Superior Performance From Theory to Practice
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Building Production-Ready AI Applications with Haystack: Design, Evaluate, and Deploy RAG Pipelines, Agents, and Graph-Aware Workflows at Scale
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Building Agentic AI with Python + LangGraph + MCP + RAG 2.0: Master Production-Ready Intelligent Agents with Advanced Reasoning, Modular Context, and Enhanced Retrieval
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LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows;: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, LangChain
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Agentic AI with LangGraph, TAP, RAG, and LLaMA: Building Scalable Intelligent Systems: A Guide to Crafting Autonomous AI Agents with Modular Tools, ... Deploying Intelligent Systems with LangGraph)
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Building Modular AI Agents with MCP LangGraph Ollama and RAG 2.0: Design, Deploy, and Scale Autonomous Systems with Local Models, Context-Aware Protocols, and Tool-Augmented Reasoning
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Foundations of Retrieval-Augmented Generation: Building Practical Pipelines, Ethical AI Workflows, and Scalable RAG Systems for Developers ... Pipelines to Graph-Enhanced Enterprise AI)
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Multimodal RAG in Action: A Developer’s Guide to Building Reliable AI Agents with Text, Image, and Knowledge Graph Retrieval
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Agentic AI with LangGraph, TAP, RAG, and LLaMA: Building Scalable Intelligent Systems: A Guide to Crafting Autonomous AI Agents with Modular Tools, ... Deploying Intelligent Systems with LangGraph)
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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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Building Agentic AI with Python + LangGraph + MCP + RAG 2.0: Master Production-Ready Intelligent Agents with Advanced Reasoning, Modular Context, and Enhanced Retrieval
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Applied Context Engineering for LLMs: A Practical Guide to Building Modular, Interpretable NLP Systems with LangGraph, RAG Pipelines, and Prompt-Based Design
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Graph rag: Building intelligent ai agents (RAG and LLMs: Guide to Building Application)
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Graph rag: Building intelligent ai agents (RAG and LLMs: Guide to Building Application)
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Mastering LangGraph: A Comprehensive Guide to Building Intelligent Language Applications ("Data Dynamics" : (Exploring LlamaIndex, LangChain, LLM and RAG for Cutting-Edge Applications))
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LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, ... Systems, LangFlow, RAG, and Knowledge-Graph)
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LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, ... Systems, LangFlow, RAG, and Knowledge-Graph)
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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: Building Intelligent, Autonomous Systems with Python and LangGraph: A Hands-On Blueprint for Production-Ready Agents: RAG 2.0, Modular Context, Multi-Agent Orchestration
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