Overview

Unlock the Power of Language-Aware Graph Applications and Turn Text into Intelligent Insights Imagine if your applications could understand language, uncover hidden relationships, and provide actionable insights automatically. Practical LangGraph: Build Advanced Language-Aware Graph Applications with Python, LangChain, and Graph Workflows is your step-by-step guide to making this a reality. This book teaches you how to harness the power of Python, LangChain, and Neo4j to create advanced, real-world knowledge graphs. You'll learn how to extract entities and relationships from text, structure complex graph data, and implement intelligent workflows that drive smarter search, recommendation, and analysis systems. Every concept comes with hands-on examples and practical code, so you can build applications that work in the real world. With this book, you'll be able to: Transform unstructured text into structured, actionable graph data. Integrate LangChain pipelines to enhance NLP capabilities in your applications. Build scalable, production-ready knowledge graphs that can power search, recommendations, and insights. Debug, maintain, and optimize your graph applications with confidence. What sets this book apart is its practical focus. No vague theory or abstract examples-just step-by-step instructions, real-world workflows, and code you can use immediately. Take control of your data, unlock insights hidden in text, and start building intelligent, language-aware applications today. Your next-generation applications start here.

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