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RAG Pipelines in Python: Discover Smarter AI Solutions and Boost Your Projects with Retrieval-Augmented Generation
Book
Unlock the future of intelligent automation with RAG Pipelines in Python, the definitive guide for developers, engineers, and AI professionals who want to build scalable, real-world Retrieval-Augmented Generation (RAG) systems using cutting-edge agentic AI frameworks.
Whether you're designing autonomous agents, orchestrating complex multi-agent systems, or looking to integrate powerful large language models into production workflows, this hands-on book walks you through every step—from foundational retrieval and generation to advanced multi-agent architectures powered by Python and tools like n8n.
Inside this practical, innovation-focused guide, you'll learn how
Build self-directed AI agents that leverage real-time retrieval to generate grounded, context-aware responses
Design and scale intelligent systems using modular, agentic architectures tailored for dynamic business environments
Integrate RAG pipelines into real-world automation with seamless API workflows, AI-powered task delegation, and cognitive orchestration
Combine multi-agent frameworks with n8n to construct autonomous systems that automate decision-making, customer support, analytics, and more
Apply the latest advancements in agentic AI, multi-modal retrieval, and structured data integration to gain a competitive edge
This is more than just a technical manual—it's a complete, future-proof strategy for building next-generation AI agents capable of adapting, learning, and performing in production. With clear examples, real-world case studies, and step-by-step implementation guidance, you'll master the tools and techniques that industry leaders are using to accelerate business growth and operational intelligence.
Perfect for professionals, AI engineers, technical product leaders, and automation architects, RAG Pipelines in Python delivers the essential knowledge to transform your workflows, scale smarter systems, and lead in the AI revolution.
If you're ready to build intelligent, autonomous, and actionable AI systems that make a real-world impact—this is the book that will take you there.
Unlock the future of intelligent automation with RAG Pipelines in Python, the definitive guide for developers, engineers, and AI professionals who want to build scalable, real-world Retrieval-Augmented Generation (RAG) systems using cutting-edge agentic AI frameworks.
Whether you're designing autonomous agents, orchestrating complex multi-agent systems, or looking to integrate powerful large language models into production workflows, this hands-on book walks you through every step—from foundational retrieval and generation to advanced multi-agent architectures powered by Python and tools like n8n.
Inside this practical, innovation-focused guide, you'll learn how
Build self-directed AI agents that leverage real-time retrieval to generate grounded, context-aware responses
Design and scale intelligent systems using modular, agentic architectures tailored for dynamic business environments
Integrate RAG pipelines into real-world automation with seamless API workflows, AI-powered task delegation, and cognitive orchestration
Combine multi-agent frameworks with n8n to construct autonomous systems that automate decision-making, customer support, analytics, and more
Apply the latest advancements in agentic AI, multi-modal retrieval, and structured data integration to gain a competitive edge
This is more than just a technical manual—it's a complete, future-proof strategy for building next-generation AI agents capable of adapting, learning, and performing in production. With clear examples, real-world case studies, and step-by-step implementation guidance, you'll master the tools and techniques that industry leaders are using to accelerate business growth and operational intelligence.
Perfect for professionals, AI engineers, technical product leaders, and automation architects, RAG Pipelines in Python delivers the essential knowledge to transform your workflows, scale smarter systems, and lead in the AI revolution.
If you're ready to build intelligent, autonomous, and actionable AI systems that make a real-world impact—this is the book that will take you there.
149 pages, Kindle Edition
Published April 2, 2025
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