{"product_id":"graph-rag-foundations-toby-hernandez-9798189073663","title":"Graph Rag Foundations: Build Production-Ready Knowledge Graph AI Systems with Neo4j, Python, Vector Search, Hybrid Retrieval, and Large Language Model","description":"\u003cp\u003e\u003cb\u003eMaster GraphRAG from the ground up by building a production-ready AI knowledge system.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eTraditional Retrieval-Augmented Generation (RAG) is excellent at finding relevant documents but it often struggles with questions that require connecting multiple facts across different sources. That's where \u003cb\u003eGraphRAG\u003c\/b\u003e changes everything.\u003c\/p\u003e\u003cp\u003eIn \u003cb\u003eGraph RAG Foundations\u003c\/b\u003e, you'll learn how to design, build, and deploy intelligent AI systems that combine \u003cb\u003eknowledge graphs\u003c\/b\u003e, \u003cb\u003evector search\u003c\/b\u003e, and \u003cb\u003elarge language models (LLMs)\u003c\/b\u003e to deliver more accurate, explainable, and context-aware answers.\u003c\/p\u003e\u003cp\u003eInstead of relying on isolated examples, you'll build \u003cb\u003eGraphMind\u003c\/b\u003e, a complete GraphRAG platform that evolves throughout the book. Beginning with GraphRAG fundamentals, you'll progress through ontology design, document ingestion, entity and relationship extraction, Neo4j graph modeling, hybrid retrieval, LLM integration, evaluation, governance, and production deployment.\u003c\/p\u003e\u003cp\u003eWhether you're developing enterprise AI applications, intelligent search systems, compliance platforms, or next-generation AI assistants, this hands-on guide provides the practical skills needed to build scalable GraphRAG solutions.\u003c\/p\u003eInside You'll Learn\u003cp\u003eHow GraphRAG differs from traditional RAG and when to use each\u003c\/p\u003e\u003cp\u003eKnowledge graph fundamentals and ontology design\u003c\/p\u003e\u003cp\u003eModeling entities, relationships, and graph schemas\u003c\/p\u003e\u003cp\u003eBuilding scalable graph databases with Neo4j\u003c\/p\u003e\u003cp\u003eParsing and processing PDFs, HTML, Markdown, and structured documents\u003c\/p\u003e\u003cp\u003eEntity extraction using spaCy and LLM-assisted pipelines\u003c\/p\u003e\u003cp\u003eRelationship extraction and ontology validation\u003c\/p\u003e\u003cp\u003eDesigning hybrid Graph + Vector retrieval systems\u003c\/p\u003e\u003cp\u003eWorking with embeddings and semantic search\u003c\/p\u003e\u003cp\u003eConnecting GraphRAG pipelines to modern Large Language Models\u003c\/p\u003e\u003cp\u003eBuilding explainable AI with provenance and graph traversal\u003c\/p\u003e\u003cp\u003ePerformance optimization, testing, monitoring, and governance\u003c\/p\u003e\u003cp\u003eDeploying production-ready GraphRAG systems using Docker and modern development practices\u003c\/p\u003eWho This Book Is For\u003cul\u003e\n\u003cli\u003eAI Engineers\u003c\/li\u003e\n\u003cli\u003eMachine Learning Engineers\u003c\/li\u003e\n\u003cli\u003ePython Developers\u003c\/li\u003e\n\u003cli\u003eBackend Developers\u003c\/li\u003e\n\u003cli\u003eData Engineers\u003c\/li\u003e\n\u003cli\u003eKnowledge Graph Engineers\u003c\/li\u003e\n\u003cli\u003eSolutions Architects\u003c\/li\u003e\n\u003cli\u003eSoftware Engineers building LLM applications\u003c\/li\u003e\n\u003cli\u003eStudents and professionals interested in GraphRAG and enterprise AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eNo prior experience with graph databases is required. A basic understanding of Python is recommended.\u003c\/p\u003e\u003cp\u003eIf you're ready to move beyond basic Retrieval-Augmented Generation and build AI systems capable of connecting, reasoning over, and explaining complex relationships, \u003cb\u003eGraph RAG Foundations\u003c\/b\u003e is your complete practical guide.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Toby Hernandez\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798189073663\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/26\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 182\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.96lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.39d","brand":"Toby Hernandez","offers":[{"title":"Paperback","offer_id":49097596666111,"sku":"9798189073663","price":30.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/graph-rag-foundations-toby-hernandez-9798189073663","provider":"WR Book House","version":"1.0","type":"link"}