Practical Multi-Agent AI Systems
How to Architect, Build, and Scale Next-Generation AI Systems That Work in the Real World
$74.98
- Paperback
544 pages
- Release Date
27 August 2026
Summary
Build production-grade multi-agent AI systems with LangChain, LangGraph, and MCP
Practical Multi-Agent AI Systems: How to Architect, Build, and Scale Next-Generation AI Systems That Work in the Real World walks through a complete, production-grade multi-agent system as a continuous project example. Using LangChain, LangGraph, MCP, A2A, and language models from OpenAI, Anthropic, and Amazon Bedrock, the book covers knowledge retrieval, personalized response ge…
Book Details
| ISBN-13: | 9781394418497 |
|---|---|
| ISBN-10: | 1394418493 |
| Author: | Murali Kashaboina |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Paperback |
| Number of Pages: | 544 |
| Release Date: | 27 August 2026 |
| Weight: | 1.09kg |
| Dimensions: | 25mm x 188mm x 234mm |
| Series: | Tech Today |
Murali Kashaboina
MURALI KASHABOINA is an AI and Technology Advisor to AI-driven business solutions companies, including AlphaU.ai, QwikPI.com, PypeAI.com, and Sapta.io, where he guides the development of multi-agent systems leveraging models from OpenAI, Anthropic, and Amazon Bedrock. He founded Entrigna, an AI company focused on real-time decisioning, and held executive positions at United Airlines, MultiCare Health System, and Health New England. He’s been recognized as being among the top 100 AI/GenAI Global Leaders by AIM Media House and a recipient of the AI100 Award at MachineCon in New York.
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