This book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Salvatore Raieli shows how to use retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior.

<ASIN: 183508706X>

Author: Salvatore Raieli
Publisher: Packt Publishing 
Date: July 2025
Pages: 560
ISBN: 978-1835087060
Print: 183508706X
Kindle: B0F5BWTS3B
Audience: AI developers
Level: intermediate 
Category: Artificial Intelligence

Topics covered 

• Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data
• Build and query knowledge graphs for structured context and factual grounding
• Develop AI agents that plan, reason, and use tools to complete tasks
• Integrate LLMs with external APIs and databases to incorporate live data
• Apply techniques to minimize hallucinations and ensure accurate outputs
• Orchestrate multiple agents to solve complex, multi-step problems
• Optimize prompts, memory, and context handling for long-running tasks
• Deploy and monitor AI agents in production environments

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