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Retrieval-Augmented Generation in Action|Finn Cordex

Retrieval-Augmented Generation in Action : Build Real-World Rag Pipelines with Langchain, Langgraph, and Agentic AI for Enterprise-Grade Knowledge Syst

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Overview

Unlock the full potential of Retrieval-Augmented Generation (RAG) and master the creation of advanced AI knowledge systems. This comprehensive guide takes you step-by-step from the foundational theory behind RAG to building production-ready pipelines using LangChain, LangGraph, and agentic AI architectures.

Whether you are an AI engineer, developer, or data scientist, you will learn to:

  • Design scalable RAG pipelines for enterprise-grade knowledge systems.

  • Integrate vector databases for efficient information retrieval.

  • Build agentic AI systems capable of reasoning across multimodal data.

  • Apply best practices for production-ready, fault-tolerant AI applications.

Packed with detailed Python examples, full implementation walkthroughs, and expert commentary, this book is your ultimate roadmap to mastering RAG in real-world environments.

This item is Non-Returnable

Details

  • ISBN-13: 9798273684188
  • ISBN-10: 9798273684188
  • Publisher: Independently Published
  • Publish Date: November 2025
  • Dimensions: 8.5 x 5.5 x 0.54 inches
  • Shipping Weight: 0.67 pounds
  • Page Count: 258

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