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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
Languages
Concepts
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Toc

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

Software Development and Data Analysis Agents

This chapter explores how natural language—our everyday English or whatever language you prefer to interact in with an LLM—has emerged as a powerful interface for programming, a paradigm shift that, when taken to its extreme, is called vibe coding. Instead of learning acquiring new programming languages or frameworks, developers can now articulate their intent in natural language, leaving it to advanced LLMs and frameworks such as LangChain to translate these ideas into robust, production-ready code. Moreover, while traditional programming languages remain essential for production systems, LLMs are creating new workflows that complement existing practices and potentially increase accessibility This evolution represents a significant shift from earlier attempts at code generation and automation.

We’ll specifically discuss LLMs’ place in software development and the state of the art of performance, models, and...

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