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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781837022014
Length 476 pages
Edition 2nd Edition
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Table of Contents (14) Chapters Close

Preface 1. The Rise of Generative AI: From Language Models to Agents 2. First Steps with LangChain FREE CHAPTER 3. Building Workflows with LangGraph 4. Building Intelligent RAG Systems 5. Building Intelligent Agents 6. Advanced Applications and Multi-Agent Systems 7. Software Development and Data Analysis Agents 8. Evaluation and Testing 9. Production-Ready LLM Deployment and Observability 10. The Future of Generative Models: Beyond Scaling 11. Other Books You May Enjoy 12. Index Appendix

Summary

This chapter explored the transformative impact of generative AI and LLMs, covering their technical foundations and evolution into agentic applications. We examined the key players in the LLM ecosystem, the shift toward open-source AI, and the emergence of agentic AI as a new paradigm in artificial intelligence.

Looking ahead, Chapter 2 will introduce LangChain, a powerful framework designed to bridge the gap between LLMs and practical, production-ready AI applications. We will explore the fundamentals of LangChain, walk through its setup, and take our first steps in building AI-driven applications. As we progress, we will evolve from basic use cases to complex multi-agent architectures, demonstrating how LangChain can be used to harness the full potential of generative AI in real-world scenarios.

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Generative AI with LangChain - Second Edition
Published in: May 2025
Publisher: Packt
ISBN-13: 9781837022014
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