Name: The Multi-Agent Playbook. Architecting Collaborative AI Systems with LLMs, RAG, and Agentic Workflows (en Inglés)
SKU: 67362552
Price: 41.11 USD
Availability: InStock
Author: MOMENT TECH

portada The Multi-Agent Playbook. Architecting Collaborative AI Systems with LLMs, RAG, and Agentic Workflows (en Inglés)

The Multi-Agent Playbook. Architecting Collaborative AI Systems with LLMs, RAG, and Agentic Workflows (en Inglés)

Formato

Libro Físico

Editorial

Independently published

Autor

MOMENT TECH

Año

2026

Idioma

Inglés

N° páginas

100

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.5 cm

ISBN13

9798196905094

The Multi-Agent Playbook. Architecting Collaborative AI Systems with LLMs, RAG, and Agentic Workflows (en Inglés)

Moment Tech (Autor) · Independently published · Tapa Blanda

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Reseña del libro "The Multi-Agent Playbook. Architecting Collaborative AI Systems with LLMs, RAG, and Agentic Workflows (en Inglés)"

Move beyond the Chatbot. Build the Autonomous Department.
The era of single-prompt engineering is over. The future of enterprise AI lies in Multi-Agent Systems (MAS)-specialized, collaborative swarms of LLMs capable of planning, reasoning, and executing complex workflows with minimal human intervention.
In The Multi-Agent Playbook, MOMENT TECH provides a definitive architectural roadmap for shifting from simple AI interactions to sophisticated, self-correcting agentic ecosystems. Whether you are building high-frequency compliance tools for FinTech or automated research pipelines, this book moves past the hype to deliver the "physics" of how agents actually work together.
What's Inside:
The 4 Pillars of Agent Anatomy: Master the core components of an agent-Planning, Memory, Tool Use, and Persona-to build units that don't just "chat," but "do."
Orchestration Design Patterns: Go deep into Hierarchical, Pipeline, and Joint-Council architectures to manage agentic collaboration.
Agentic RAG: Evolution beyond simple search. Learn how agents use Retrieval-Augmented Generation to acquire and verify knowledge in real-time.
Advanced Frameworks: Hands-on guidance for scaling with LangGraph, CrewAI, and AutoGen.
Human-in-the-Loop (HITL): Design essential governance and oversight gates to ensure safety and compliance in production environments.
The FinTech Case Study: A comprehensive synthesis of the playbook applied to the high-stakes world of RegTech and autonomous compliance.
Designed for the Modern Tech Stack
This isn't a theoretical text. It is a field manual for AI Architects, Software Engineers, and Product Leaders who need to deploy reliable, scalable, and manageable AI swarms. From local prototypes to global cloud deployments, you will learn how to manage state, handle "context drift," and keep token costs under control.
Stop building prompts. Start architecting systems.
Scroll up and grab your copy of The Multi-Agent Playbook to join the next frontier of AI engineering.