SKU/Artículo: AMZ-B0FXXZG28C

KNOWLEDGE GRAPH INTELLIGENCE: BUILDING THE REASONING LAYER FOR AI WITH NEO4J, RAG, AND LARGE LANGUAGE MODELS (Agentic AI & Retrieval Systems Series Book 2)

Disponibilidad:
Fuera de stock
Peso con empaque:
0.36 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • Grasp the foundations of graph-based reasoning and how it powers contextual AI.
  • Model entities, relationships, and ontologies using Neo4j for real-world intelligence.
  • Combine semantic embeddings and vector search with graph databases for hybrid reasoning.
  • Build Graph-Powered RAG Systems that deliver grounded, explainable AI responses.
  • Integrate LLMs with Cypher and graph queries, allowing natural language to drive retrieval.
  • Architect scalable, transparent cognitive systems that think in relationships — not keywords.
  • Explore the future of AI reasoning, from graph memory to autonomous agent intelligence.
  • A semantic search engine using embeddings and Neo4j
  • A RAG-powered assistant that uses graphs for contextual accuracy
  • A knowledge reasoning framework capable of powering enterprise-grade AI

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