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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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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

Appendix

This appendix serves as a practical reference guide to the major LLM providers that integrate with LangChain. As you develop applications with the techniques covered throughout this book, you’ll need to connect to various model providers, each with its own authentication mechanisms, capabilities, and integration patterns.

We’ll first cover the detailed setup instructions for the major LLM providers, including OpenAI, Hugging Face, Google, and others. For each provider, we walk through the process of creating accounts, generating API keys, and configuring your development environment to use these services with LangChain. We then conclude with a practical implementation example that demonstrates how to process content exceeding an LLM’s context window—specifically, summarizing long videos using map-reduce techniques with LangChain. This pattern can be adapted for various scenarios where you need to process large volumes of text, audio transcripts...

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