Ultimate GraphRAG for AI Engineers

Ultimate GraphRAG for AI Engineers

Adrián Sánchez de la Sierra / Genesis Rojas / John Joy

52,68 €
IVA incluido
Disponible
Editorial:
Orange Education Pvt Ltd
Año de edición:
2026
ISBN:
9788169646253
52,68 €
IVA incluido
Disponible

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Build GraphRAG Systems That Retrieve Accurately, Reason Clearly, and ScaleBook DescriptionThe Most Reliable AI Systems Do Not Just Retrieve Information-They Understand RelationshipsRetrieval-Augmented Generation (RAG) works better when it reasons over-connected knowledge, rather than isolated text chunks - and GraphRAG is the architectural approach that makes that possible. Ultimate GraphRAG for AI Engineers is a practical guide to building retrieval systems that combine knowledge graphs, large language models, and graph-native reasoning, taking practitioners from fundamentals to production-grade deployment.You begin with knowledge graph foundations and entity extraction, then progressively advance through graph construction, node and edge enrichment, community detection, hierarchical summarization, and algorithm-driven retrieval strategies. The book evaluates alternative patterns including LightRAG, KAG, and PathRAG, with a focus on accuracy, explainability, and reusability throughout every stage of the pipeline.What you will learn● Model domain knowledge as reusable graph-based retrieval systems for enterprise applications.● Build GraphRAG pipelines from raw documents, metadata, and entity extraction workflows.● Enrich nodes, edges, and communities to enable stronger graph-native reasoning and retrieval.Table of Contents1. Understanding Retrieval-Augmented Generation2. Knowledge Graphs Essentials3. Intersection of LLMs and KGs4. From Raw Text to Structured Knowledge5. Enhancing Graph Data6. Algorithm-Driven Graph Retrieval Strategies: Thinking in Graphs7. Community Detection and Hierarchical Summarization8. Alternative Architectural Patterns9. Pre-Retrieval Strategies on GraphRAG10. Post-Retrieval Strategies11. Explainability and Evaluation in GraphRAG12. Deploying GraphRAG Solutions13. Scaling and Optimizing GraphRAG Systems14. Emerging Trends and Research Insights15. Practical Pathways Forward       Index

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