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Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents by Salvatore Raieli, Gabriele Iuculano is a nonfiction available to read on EtoBox.

What is Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents about?

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features• Implement RAG and knowledge graphs for advanced problem-solving• Leverage innovative approaches like LangChain to create real-world intelligent systems• Integrate large language models, graph databases, and tool use for next-gen AI solutions This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipeli

Who reads Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents?

Author

Salvatore Raieli, Gabriele Iuculano

Publisher

Packt Publishing

Published

2025

Language

EN

ISBN

9781835087060

Category

nonfiction

Subjects

Computer Science, Artificial Intelligence (Ai), Stem