SKU/Artículo: AMZ-B0G2Y84S8Q
Graph Augmented AI Architectures Designing Explainable, High-Precision LLM Systems with Knowledge Fusion: Advanced Strategies for Graph-RAG ... Intelligence Engineering Series)
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Paperback
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0.33 kg
0.33 kg
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Amazon
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USA
USA
Sobre este producto
- Graph-Augmented AI Architectures takes the concepts from Book 1 to the next level focusing on advanced engineering patterns for building full-stack LLM systems that incorporate knowledge graphs, graph neural networks, multi-agent orchestration, and temporal graph intelligence. This volume explores how to engineer graph-augmented reasoning layers, enabling LLMs to perform structured inference, logic-driven workflows, and context filtering using high-trust graph data. Readers learn to implement multi-agent coordination, knowledge routing, semantic planning, and graph-based decision scaffolding using LangChain, LangGraph, and custom agent frameworks. The book covers advanced topics such as streaming graph ingestion, continuous graph enrichment, GNN-based link prediction, relationship discovery, and temporal data evolution. It also includes production-focused guidance architecture blueprints, connector strategies, model monitoring, provenance tracking, versioning, and governance for enterprise adoption. Readers will design scalable, high-precision AI ecosystems that blend symbolic knowledge, neural embeddings, and autonomous reasoning agents into cohesive, reliable systems capable of serving real-world enterprise workloads.
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AR$48.848
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