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SKU/Artículo: AMZ-B0FX91DSGF

Building Knowledge Graphs for LLMs: Practical Design, Implementation, and Integration of Graph-Enhanced Context Systems

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En stock

Peso con empaque:
0.52 kg

Devolución:
Sí

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Nuevo

Producto de:
Amazon

Sobre este producto

Introduction to Graph-Enhanced Context Systems – Understand how knowledge graphs complement and stabilize LLMs.
Design Principles and Ontology Modeling – Learn how to model entities, relationships, and semantics for real-world applications.
Building and Populating the Graph – Use structured and unstructured data pipelines to create scalable, reliable graphs.
Storage and Retrieval Systems – Discover how to query, index, and optimize graph data for high-performance LLM integration.
Integrating with LLM Pipelines – Implement RAG and GraphRAG patterns using tools like Neo4j, LangChain, and LlamaIndex.
Evaluation, Scaling, and Case Studies – Test, refine, and deploy production-ready graph-augmented AI systems across enterprise, research, and legal domains.

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Building Knowledge Graphs for LLMs: Practical Design, Implementation, and Integration of Graph-Enhanced Context Systems

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