Adrián Sánchez de la Sierra / Genesis Rojas / John Joy
Librería Samer Atenea
Kálamo Books
Librería Elías (Asturias)
Librería Kolima (Madrid)
Librería Proteo (Málaga)
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