Agentic RAG with Crew AI in Action: Build Smarter AI Systems with Agentic Reasoning, Task Chaining, and Dynamic Knowledge Access

Name: Agentic RAG with Crew AI in Action: Build Smarter AI Systems with Agentic Reasoning, Task Chaining, and Dynamic Knowledge Access
Brand: Atlantic Books
SKU: 9798292020509
Price: 1839.0 INR
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by Devin Albert

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ISBN13: 9798292020509
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: July 10, 2025
Pages: 200
Original Price: GBP 16.18
Language: English
Edition: N/A
Item Weight: 327 grams
BISAC Subject(s): Artificial Intelligence / General

About The Book

Agentic RAG with Crew AI in Action:
Build Smarter AI Systems with Agentic Reasoning, Task Chaining, and Dynamic Knowledge Access

Modern AI isn't just about generating answers-it's about building systems that can think, retrieve, and act autonomously. Agentic RAG with Crew AI in Action shows you exactly how to combine Retrieval-Augmented Generation (RAG) with Crew AI to create intelligent, modular, and scalable multi-agent systems that reason through problems, retrieve knowledge when needed, and chain tasks together toward a goal.
This book takes you inside the architecture of smart agentic systems, guiding you step-by-step as you design agents with roles, memory, planning capabilities, and tool use. You'll understand how to build agents that know when to query a vector database, when to rely on memory, how to use APIs or file systems, and how to collaborate across multiple agents with distinct responsibilities.
Built for developers, ML practitioners, and AI system architects, the book offers everything from foundational concepts to advanced implementation techniques. Every chapter includes practical explanations, real-world code examples, and complete workflows-no fluff, no hand-waving.
You'll learn how to:
Use Crew AI to define roles, assign tasks, and coordinate agent behavior
Integrate RAG pipelines using LangChain, LlamaIndex, and vector databases
Structure multi-agent workflows with memory, feedback loops, and adaptive planning
Build agents that retrieve data, use tools, reflect on output, and make decisions
Handle logging, debugging, security, and scaling across distributed environments
You'll also explore powerful use cases like automated research assistants, legal brief generators, and business data analyzers-real projects that showcase the full potential of agentic systems in action.
This book isn't just theory-it's a full engineering guide for the next generation of AI.
If you're ready to stop building static chatbots and start building AI systems that can think through tasks, work with knowledge, and operate autonomously across complex workflows, this is your playbook.
Build smarter. Build faster. Build agentic AI that works. Get started today.

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