Building AI Agents with LLMs, RAG, and Knowledge Graphs
43,19 €
Sofort verfügbar, Lieferzeit: Sofort lieferbar
Building AI Agents with LLMs, RAG, and Knowledge Graphs, Packt Publishing
A practical guide to autonomous and modern AI agents
Von Salvatore Raieli, Gabriele Iuculano, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Building AI Agents with LLMs, RAG, and Knowledge Graphs"
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 pipelines for
increasing factual accuracy and incorporate knowledge graphs for context-rich
reasoning. The chapters will help you build and orchestrate autonomous agents
that combine planning, tool use, and knowledge retrieval to achieve complex
goals. Concrete Python examples built on popular libraries, along with
real-world case studies, reinforce each concept and show you how these
techniques come together.
By the end of this book, you’ll be well-equipped to build intelligent AI agents
that reason, retrieve, and interact dynamically, empowering you to deploy
powerful AI solutions across industries.
Artikel-Details
- Anbieter:
- Packt Publishing
- Autor:
- Salvatore Raieli, Gabriele Iuculano
- Artikelnummer:
- 9781835080382
- Veröffentlicht:
- 11.07.25
- Seitenanzahl:
- 560