{"product_id":"building-graph-rag-pipelines-real-world-integration-continuous-updates-and-scalable-maintenance-for-enterprise-ai-systems-9798264175169","title":"Building Graph-RAG Pipelines: Real-World Integration, Continuous Updates, and Scalable Maintenance for Enterprise AI Systems","description":"\u003cp\u003e • Author(s): Dwayne Daniel\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Data Science - Data Modeling \u0026amp; Design\u003c\/p\u003e\u003cp\u003eYour data knows more than your models are saying. What if your AI could connect regulations to subsidiaries, guidelines to patients, and facts to sources-instantly and with full traceability? If you've ever asked, \"How do we make AI both accurate and accountable?\", this book is for you. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThis practical guide shows architects, data engineers, MLOps teams, and AI leaders how to build Graph-RAG systems that marry knowledge graphs with retrieval-augmented generation. You'll learn how to design pipelines that integrate with legacy databases and APIs, keep knowledge fresh with continuous updates, and scale reliably in cloud environments. The payoff is enterprise AI that's explainable, compliant, and production-ready-so stakeholders trust the answers and you can show your work.\u003cp\u003e\u003cb\u003eWhat sets this book apart?\u003c\/b\u003e\u003cbr\u003eIt's an end-to-end playbook grounded in real enterprise constraints-security, governance, and cost.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eFoundations of Graph-RAG: \u003c\/b\u003e Core patterns that blend graph traversal with vector search for precise, evidence-backed responses.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eKnowledge Graphs as the Backbone: \u003c\/b\u003e Modeling entities, relationships, and provenance to make reasoning explicit.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eData Ingestion \u0026amp; Preparation: \u003c\/b\u003e Multi-source pipelines, schema alignment, and cleaning strategies that hold up in production.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eCore Pipeline Build: \u003c\/b\u003e Orchestrating graph queries with embeddings and hybrid search that balances recall and precision.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eReal-World Integration: \u003c\/b\u003e Connecting to legacy systems, event streams, and middleware without disrupting operations.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eContinuous Updates: \u003c\/b\u003e Incremental indexing, CDC, and automation to keep answers current.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eScaling \u0026amp; Optimization: \u003c\/b\u003e Load balancing, distributed architectures, cost control, and performance monitoring.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eExplainability \u0026amp; Governance: \u003c\/b\u003e Access control, auditability, and ethical safeguards that satisfy risk and compliance.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eMaintenance \u0026amp; Lifecycle: \u003c\/b\u003e Observability, self-healing, and technical-debt mitigation for long-term reliability.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eCase Studies \u0026amp; Future Directions: \u003c\/b\u003e Healthcare and finance examples, plus where graph-augmented enterprise AI is heading.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eBuild AI your executives, regulators, and users can trust. Add this book to your toolkit today and start delivering Graph-RAG pipelines that are accurate, explainable, and built for scale-across real enterprise data, real systems, and real constraints.\u003c\/b\u003e\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333031350423,"sku":"9798264175169","price":1961.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798264175169.webp?v=1768668430","url":"https:\/\/atlanticbooks.com\/products\/building-graph-rag-pipelines-real-world-integration-continuous-updates-and-scalable-maintenance-for-enterprise-ai-systems-9798264175169","provider":"Atlantic Books","version":"1.0","type":"link"}