Building LLM Agents with RAG, Knowledge Graphs & Reflection (Paperback)

Mira S. Devlin

20 Bewertungen von Goodreads

Sprache: Englisch

Verlag: Independently Published, 2025

9798273159013

Serie: Buch 1 von 2 - The Agentic AI Engineering Series

Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 12. Oktober 2005

Softcover

Zustand: Neu

EUR 29,93

 Versand gratis 
Versand innerhalb von USA

Anzahl: 1 verfügbar

In den Warenkorb
30 Tage kostenlose Rückgabe

Artikelbeschreibung des Verkäufers

Paperback. Transform Large Language Models into Intelligent Agents That Reason, Retrieve, and ReflectIn Building LLM Agents with RAG, Knowledge Graphs & Reflection, AI systems architect Mira S. Devlin guides you beyond the surface of generative AI into the world of agentic intelligence-where LLMs evolve from reactive tools into dynamic collaborators capable of grounding responses in truth, understanding context, and improving over time.This book doesn't just explain concepts-it helps you build them. Each chapter blends theory, diagrams, and applied examples to show how retrieval, reasoning, and reflection interact inside modern AI agents. Whether you're constructing a self-updating research assistant or a multi-agent workflow, you'll gain a deep understanding of how today's most advanced cognitive systems are designed.What You'll LearnThe Cognitive Core of AI AgentsUnderstand the architecture of transformers, tokenization, and attention.Explore the shift from static LLMs to adaptive, outcome-driven agents.Learn how retrieval, reflection, and reasoning form the four pillars of intelligence.Retrieval-Augmented Generation (RAG)Implement retrievers, rankers, and generators using open-source frameworks.Evaluate accuracy with metrics like RecallatK, PrecisionatK, and grounding quality.Build a working RAG-powered knowledge bot capable of live data integration.Knowledge Graphs and Structured ReasoningDesign and query graph-based knowledge systems using Neo4j, ArangoDB, or GraphRAG.Represent relationships between data entities for context-rich reasoning.Combine structured knowledge with unstructured language for explainable AI.Reflection and Cognitive LoopsImplement Plan Act Reflect Revise cycles for self-improving intelligence.Explore short-term and long-term memory systems for continuous learning.Multi-Agent CollaborationArchitect intelligent teams of agents that can plan, delegate, and verify results.Understand communication protocols, cooperative memory, and role specialization.Use frameworks like CrewAI, LangGraph, and AutoGPT2 to orchestrate coordination.Each chapter concludes with an "Agent in Action" section-hands-on projects and guided workflows that turn abstract concepts into working systems you can build, extend, and deploy.Key Features: End-to-end coverage: From LLM fundamentals to advanced RAG and reflection architectures.Framework-agnostic examples: Concepts applicable to GPT, Claude, Gemini, and open-source models.Practical code labs: Step-by-step walkthroughs in Python with modular components.Visual clarity: Concept diagrams, data flow maps, and evaluation schematics throughout.Debugging insights: Identify hallucinations, reasoning gaps, and retrieval errors with real-world examples.Scalable design patterns: Extend single-agent models into multi-agent collaborative systems.About the Author: Mira S. Devlin is an AI systems architect specializing in the intersection of language models, retrieval pipelines, and knowledge reasoning frameworks.Who This Book Is For: AI developers, data scientists, and engineers who want to move beyond simple LLM prompts.Architects and product innovators building intelligent, explainable, and adaptive AI systems.Researchers and students seeking a structured understanding of retrieval-based reasoning and reflection.< Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Bestandsnummer des Verkäufers 9798273159013

Titel
Building LLM Agents with RAG, Knowledge Graphs & Reflection (Paperback)
Autor
Mira S. Devlin
Verlag
Independently Published
Erscheinungsjahr
2025
Zustand
new
Einband
Paperback
Sprache
Englisch
ISBN-13
9798273159013
Serie
Buch 1 von 2: The Agentic AI Engineering Series

Grand Eagle Retail

Bensenville, IL, USA

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 12. Oktober 2005

Versandkosten innerhalb von USA

Artikel6 bis 14 Werktage6 bis 16 Werktage
Erster ArtikelEUR 0,00EUR 0,00
Die Versandzeiten werden von den Verkäuferinnen und Verkäufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, können Verzögerungen unterliegen. Eventuell anfallende Abgaben oder Gebühren sind von der Käuferin bzw. dem Käufer zu tragen. Die Verkäuferin bzw. der Verkäufer kann Sie bezüglich zusätzlicher Versandkosten kontaktieren, um einen möglichen Anstieg der Versandkosten für Ihre Artikel auszugleichen.

Zahlungsarten

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Unternehmensdaten der Verkäuferin bzw. des Verkäufers

APOLLO ONLINE CORP.

605 Geddes Street
Wilmington, DE USA 19805