rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Agentic architectural patterns for building multi-agent systems
    sub title: proven design patterns & practices for GenAI, Agents, RAG, LLMOps & enterprise-scale AI systems
  name:
    name part: Arsanjani, Ali
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Bustos, Juan Pablo
    role:
      role term: author.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practicesFree with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Build robust single and multi-agent GenAI systems for enterprise use...
  table of contents: Intro -- Agentic Architectural Patterns for Building Multi-Agent Systems -- Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems -- Foreword -- Contributors -- About the authors -- About the reviewers -- Join our Discord and Reddit space -- Table of Contents -- Preface -- Who this book is for -- What this book covers -- To get the most out of this book -- Download the example code files -- Download the color images -- Conventions used -- Get in touch -- Free Benefits with Your Book -- How to Unlock -- Share your thoughts -- Part 1
  table of contents: Foundations and Core Agent Concepts -- 1 -- GenAI in the Enterprise: Landscape, Maturity, and Agent Focus -- The transformative potential of GenAI -- Overview of business applications -- Horizontal applications (cross-functional use cases) -- Vertical or domain-specific applications -- Introducing agentic AI systems -- The anatomy of agentic AI -- Core components -- Agent anatomy -- Data stores and environment context -- Key architectural features -- The GenAI Maturity Model: a path to agentic systems -- The new agentic stack -- Enabling agent communication: from tools to collaboration
  table of contents: Agent internals (common to A and B for simplicity) -- The MCP server -- The agent server -- Challenges hindering production-grade GenAI -- Summary -- Get This Book's PDF Version and Exclusive Extras -- 2 -- Agent-Ready LLMs: Selection, Deployment, and Adaptation -- Role of LLMs in agentic systems -- Model selection: choosing the right foundation -- Context window size -- Model size and specialization for agents -- Native support for tool use and function calling -- Model robustness, reliability, and safety -- Adaptability and fine-tuning potential -- Other key selection considerations
  table of contents: Deployment and performance optimization for agents -- Serving architectures for agentic LLMs -- Cloud-hosted APIs -- Self-hosted models -- Edge deployment -- Performance optimization strategies -- Latency reduction -- Throughput maximization -- Cost optimization -- Optimizing for tool interaction -- Security considerations in LLM deployment for agents -- AgentOps: managing LLMs in agentic systems -- Summary -- Subscribe for a free eBook -- 3 -- The Spectrum of LLM Adaptation for Agents: RAG to Fine-tuning -- From generic LLMs to specialized agents -- Another maturity model for agentic AI
  table of contents: The granularity of agents -- A hierarchical agentic architecture for business process automation -- The core components: agents and their capabilities -- The hierarchical structure: orchestrators and specialists -- Governance and observability via callbacks -- Contextual enhancement: stage 1, enhancement with RAG -- RAG-powered customer support agent -- Financial analyst agent leveraging RAG for timely market insights -- Compliance agent ensuring adherence with RAG in transaction monitoring -- Analyzing the scenarios -- Fine-tuning for agentic capabilities -- Domain specialization
  note: Dr. Ali Arsanjani, Juan Pablo Bustos.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligent agents (Computer software)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Agents intelligents (Logiciels)
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligent agents (Computer software)
  classification: Q335
  classification: 006.3
  related item:
    title info:
      title: Agentic Architectural Patterns for Building Multi-Agent Systems
    name:
      name part: Arsanjani, Ali
    origin info:
      publisher: Birmingham : Packt Publishing, Limited,c2026
  identifier: 9781806029563
  identifier: 1806029561
  identifier: 9781806029570 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 251103
    record change date: 20260309191338.0
    record identifier: in00005694308
    language of cataloging:
      language term: eng