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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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Concepts
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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

After setting up our development environment and configuring necessary API keys, we’ve explored the foundations of LangChain development, from basic chains to multimodal capabilities. We’ve seen how LCEL simplifies complex workflows and how LangChain integrates with both text and image processing. These building blocks prepare us for more advanced applications in the coming chapters.

In the next chapter, we’ll expand on these concepts to create more sophisticated multimodal applications with enhanced control flow, structured outputs, and advanced prompt techniques. You’ll learn how to combine multiple modalities in complex chains, incorporate more sophisticated error handling, and build applications that leverage the full potential of modern LLMs.

You have been reading a chapter from
Generative AI with LangChain - Second Edition
Published in: May 2025
Publisher: Packt
ISBN-13: 9781837022014
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