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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

OpenAI

OpenAI remains one of the most popular LLM providers, offering models with various levels of power suitable for different tasks, including GPT-4 and GPT-o1. LangChain provides seamless integration with OpenAI’s APIs, supporting both their traditional completion models and chat models. Each of these models has its own price, typically per token.

To work with OpenAI models, we need to obtain an OpenAI API key first. To create an API key, follow these steps:

  1. You need to create a login at https://platform.openai.com/.
  2. Set up your billing information.
  3. You can see the API keys under Personal | View API Keys.
  4. Click on Create new secret key and give it a name.

Here’s how this should look on the OpenAI platform:

Figure A.1: OpenAI API platform – Create new secret key

Figure A.1: OpenAI API platform – Create new secret key

After clicking Create secret key, you should see the message API key generated. You need to copy the key to your clipboard and save it, as you will need it...

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