Essential Graphrag: Knowledge Graph-Enhanced Rag

Hane, Oscar: - Oskar Hane is a Senior Staff Software Engineer at Neo4j. He has over 20 years of experience as a Software Engineer and 10 years of experience working with Neo4j and knowledge graphs. He is currently leading the Generative AI engineering team within Neo4j, with the focus to provide the best possible experience for other developers to build GenAI applications with Neo4j.

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Editie: Paperback

Nr. pagini: 176

Cod: BRT9781633436268

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Essential Graphrag: Knowledge Graph-Enhanced Rag

De (autor): Tomaz Bratanic

Essential Graphrag: Knowledge Graph-Enhanced Rag

De (autor): Tomaz Bratanic

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Knowledge Graphs RAG: A Practical Guide to Designing and Implementing Graph-Based Systems - Maxime Lane

Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG - Keith Bourne

Agentic RAG: Architecting Autonomous AI Systems with Retrieval-Augmented - Camila Jones

Knowledge Graph Mastery: Building Smarter AI with Graph Reasoning and Semantic Models - Gilbert Huie

A Generative Journey to AI: Mastering the foundations and frontiers of generative deep learning (English Edition) - Toni Ramchandani

Langgraph RAG: Building Smarter Multi-agent Systems with Knowledge Graphs and Retrieval-Augmented Generation - James Wiglow

Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents - Salvatore Raieli

Knowledge Graph Basics: Understanding, Designing, and Implementing Graph-Based Systems - James Acklin

Artificial Intelligence: Foundations of Computational Agents - David L. Poole

Real-World Natural Language Processing: Practical Applications with Deep Learning - Masato Hagiwara

Natural Language Engineering: Methods, Tasks and Applications - Massimo Esposito

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas - Panos Alexopoulos

Deep Learning for Natural Language Processing - Stephan Raaijmakers

Inteligência Artificial: A Breve História da Aprendizagem Profunda, Algoritmos, Processamento de Linguagem Natural, Redes Neurais Artificiais e - John K Burchfield

How Large Language Models Work - Edward Raff

Understanding Chat GPT - Dheeraj

Multilingual Artificial Intelligence - Peng Wang

Effective Prompt Engineering for Artificial Intelligence - David Roy Spradlin

De acelasi autor

Graph Algorithms for Data Science - Tomaz Bratanic

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